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Tateoka K, Tsuji T, Shoji T, Tokunaga S, Okura T. The relationship between acceleration in sit-to-stand and falls in community-dwelling older adults: cross-sectional study. J Phys Ther Sci 2024; 36:74-80. [PMID: 38304148 PMCID: PMC10830154 DOI: 10.1589/jpts.36.74] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 11/16/2023] [Indexed: 02/03/2024] Open
Abstract
[Purpose] This study aimed to determine the relationship between acceleration parameters in the sit-to-stand (STS) movement and falls, and the strength of the association between acceleration in STS movements and falls in older adults. [Participants and Methods] In total, 330 older adults were included. Four acceleration parameters were measured in STS movement: maximum acceleration (MA), velocity (MV), power (MP), and stand-up time (ST). For the conventional STS tests, 5 times STS test (5xSTS) and ground reaction force (maximal rate of force development per body weight: RFD/w, peak reaction force per body weight: F/w, chair-rise time: T) were measured. Poisson regression analysis adjusted for confounding factors was used. [Results] In the model adjusted for confounders, significant associations were observed among MV (Prevalence ratio (PR): 0.75; 95% confidence interval (CI): 0.58-0.98), MP (PR: 0.67; 95% Cl: 0.68-0.93), RFD/w (PR: 0.70; 95% Cl: 0.56-0.87), and T (PR: 1.14; 95% Cl: 1.05-1.24). [Conclusion] Among the acceleration parameters, MP was most strongly associated with falls and was considered the most useful parameter for evaluation. In addition, comparisons with the conventional chair rise tests suggested that MP was stronger than the 5xSTS test and may be equally related to the RFD/w.
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Affiliation(s)
- Korin Tateoka
- Doctoral Program in Physical Education, Health and Sport
Sciences, University of Tsukuba: 1-1-1 Tennodai, Tsukuba-shi, Ibaraki 305-8574,
Japan
| | - Taishi Tsuji
- Institute of Health and Sport Sciences in Tokyo, University
of Tsukuba, Japan
| | - Takuro Shoji
- Doctoral Program in Public Health, Degree Programs in
Comprehensive Human Sciences, Graduate School of Comprehensive Human Sciences, University
of Tsukuba, Japan
| | - Satoshi Tokunaga
- Doctoral Program in Public Health, Degree Programs in
Comprehensive Human Sciences, Graduate School of Comprehensive Human Sciences, University
of Tsukuba, Japan
| | - Tomohiro Okura
- Institute of Health and Sport Sciences in Tsukuba,
University of Tsukuba, Japan
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Tateoka K, Tsuji T, Shoji T, Tokunaga S, Okura T. Relationship between Acceleration in a Sit-To-Stand Movement and Physical Function in Older Adults. Geriatrics (Basel) 2023; 8:123. [PMID: 38132494 PMCID: PMC10742784 DOI: 10.3390/geriatrics8060123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/18/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023] Open
Abstract
Acceleration parameters in sit-to-stand (STS) movements are useful for measuring lower-limb function in older adults. The purpose of this study was to examine the relationship between acceleration in STS movements and physical function and the test-retest reliability of acceleration parameters in older adults. We performed cross-sectional analyses on 244 older adults including 107 men (mean age: 77.4 ± 4.7) and 137 women (mean age: 75.6 ± 5.3). Four acceleration parameters were measured in STS movements: maximum acceleration (MA), maximum velocity (MV), maximum power (MP), and stand-up time (ST). Good intraclass correlation coefficients (ICC > 0.70) were observed for all parameters. For the acceleration parameters, MA, MV, and MP were relatively strongly associated with the 5-time STS test (men: r = -0.36~-0.47; women: r = -0.37~-0.45) and the timed up and go test (men: r = -0.39~0.47, women: r = -0.43~-0.51): MP was also strongly associated with grip strength (men: r = 0.48, women: r = 0.43). All acceleration parameters were poorer in participants reporting mobility limitations than in those reporting no mobility limitations. These findings support the usefulness of sensor-based STS measurement. The system is expected to be useful in various settings where care prevention is addressed.
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Affiliation(s)
- Korin Tateoka
- Doctoral Program in Physical Education, Health and Sport Sciences, University of Tsukuba, Tsukuba 305-8571, Japan
| | - Taishi Tsuji
- Institute of Health and Sport Sciences, University of Tsukuba, Tokyo 112-0012, Japan; (T.T.); (T.O.)
| | - Takuro Shoji
- Doctoral Program in Public Health, Degree Programs in Comprehensive Human Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba 305-8571, Japan; (T.S.); (S.T.)
| | - Satoshi Tokunaga
- Doctoral Program in Public Health, Degree Programs in Comprehensive Human Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba 305-8571, Japan; (T.S.); (S.T.)
| | - Tomohiro Okura
- Institute of Health and Sport Sciences, University of Tsukuba, Tokyo 112-0012, Japan; (T.T.); (T.O.)
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Rose MJ, Neogi T, Friscia B, Torabian KA, LaValley MP, Gheller M, Adamowicz L, Georgiev P, Viktrup L, Demanuele C, Wacnik PW, Kumar D. Reliability of Wearable Sensors for Assessing Gait and Chair Stand Function at Home in People With Knee Osteoarthritis. Arthritis Care Res (Hoboken) 2023; 75:1939-1948. [PMID: 36734316 PMCID: PMC10397366 DOI: 10.1002/acr.25096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 01/20/2023] [Accepted: 01/31/2023] [Indexed: 02/04/2023]
Abstract
OBJECTIVE To assess the reliability of wearable sensors for at-home assessment of walking and chair stand activities in people with knee osteoarthritis (OA). METHODS Baseline data from participants with knee OA (n = 20) enrolled in a clinical trial of an exercise intervention were used. Participants completed an in-person laboratory visit and a video conference-enabled at-home visit. In both visits, participants performed walking and chair stand tasks while fitted with 3 inertial sensors. During the at-home visit, participants self-donned the sensors and completed 2 sets of acquisitions separated by a 15-minute break, when they removed and redonned the sensors. Participants completed a survey on their experience with the at-home visit. During the laboratory visit, researchers placed the sensors on the participants. Spatiotemporal metrics of walking gait and chair stand duration were extracted from the sensor data. We used intraclass correlation coefficients (ICCs) and the Bland-Altman plot for statistical analyses. RESULTS For test-retest reliability during the at-home visit, all ICCs were good to excellent (0.85-0.95). For agreement between at-home and laboratory visits, ICCs were moderate to good (0.59-0.87). Systematic differences were noted between at-home and laboratory data due to faster task speed during the laboratory visits. Participants reported a favorable experience during the at-home visit. CONCLUSION Our method of estimating spatiotemporal gait measures and chair stand duration function remotely was reliable, feasible, and acceptable in people with knee OA. Wearable sensors could be used to remotely assess walking and chair stand in participant's natural environments in future studies.
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Affiliation(s)
- Michael J. Rose
- Department of Physical Therapy & Athletic Training, Boston University, Boston, MA, USA
| | - Tuhina Neogi
- Section of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Brian Friscia
- Department of Physical Therapy & Athletic Training, Boston University, Boston, MA, USA
| | - Kaveh A. Torabian
- Department of Physical Therapy & Athletic Training, Boston University, Boston, MA, USA
| | - Michael P. LaValley
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Mary Gheller
- Section of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | | | - Lars Viktrup
- Neuroscience, Eli Lilly and Company, Indianapolis, IN, USA
| | | | - Paul W. Wacnik
- Early Clinical Development, Pfizer Inc., Cambridge, MA, USA
| | - Deepak Kumar
- Department of Physical Therapy & Athletic Training, Boston University, Boston, MA, USA
- Section of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
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Bochicchio G, Ferrari L, Bottari A, Lucertini F, Scarton A, Pogliaghi S. Temporal, Kinematic and Kinetic Variables Derived from a Wearable 3D Inertial Sensor to Estimate Muscle Power during the 5 Sit to Stand Test in Older Individuals: A Validation Study. SENSORS (BASEL, SWITZERLAND) 2023; 23:4802. [PMID: 37430715 DOI: 10.3390/s23104802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/09/2023] [Accepted: 05/15/2023] [Indexed: 07/12/2023]
Abstract
The 5-Sit-to-stand test (5STS) is widely used to estimate lower limb muscle power (MP). An Inertial Measurement Unit (IMU) could be used to obtain objective, accurate and automatic measures of lower limb MP. In 62 older adults (30 F, 66 ± 6 years) we compared (paired t-test, Pearson's correlation coefficient, and Bland-Altman analysis) IMU-based estimates of total trial time (totT), mean concentric time (McT), velocity (McV), force (McF), and MP against laboratory equipment (Lab). While significantly different, Lab vs. IMU measures of totT (8.97 ± 2.44 vs. 8.86 ± 2.45 s, p = 0.003), McV (0.35 ± 0.09 vs. 0.27 ± 0.10 m∙s-1, p < 0.001), McF (673.13 ± 146.43 vs. 653.41 ± 144.58 N, p < 0.001) and MP (233.00 ± 70.83 vs. 174.84 ± 71.16 W, p < 0.001) had a very large to extremely large correlation (r = 0.99, r = 0.93, and r = 0.97 r = 0.76 and r = 0.79, respectively, for totT, McT, McF, McV and MP). Bland-Altman analysis showed a small, significant bias and good precision for all the variables, but McT. A sensor-based 5STS evaluation appears to be a promising objective and digitalized measure of MP. This approach could offer a practical alternative to the gold standard methods used to measure MP.
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Affiliation(s)
- Gianluca Bochicchio
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy
| | - Luca Ferrari
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy
- Department of Biomolecular Sciences, University of Urbino, 61029 Urbino, Italy
| | - Alberto Bottari
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy
| | - Francesco Lucertini
- Department of Biomolecular Sciences, University of Urbino, 61029 Urbino, Italy
| | - Alessandra Scarton
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy
- Microgate Srl, 39100 Bolzano, Italy
| | - Silvia Pogliaghi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy
- Research Associate Canadian Center for Activity and Ageing, University of Western Ontario, London, ON N6A 3K7, Canada
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Greene BR, Doheny EP, McManus K, Caulfield B. Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand test. WEARABLE TECHNOLOGIES 2022; 3:e9. [PMID: 38486905 PMCID: PMC10936403 DOI: 10.1017/wtc.2022.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/16/2022] [Accepted: 05/11/2022] [Indexed: 03/17/2024]
Abstract
The five times sit-to-stand test (FTSS) is an established functional test, used clinically as a measure of lower-limb strength, endurance and falls risk. We report a novel method to estimate and classify cognitive function, balance impairment and falls risk using the FTSS and body-worn inertial sensors. 168 community dwelling older adults received a Comprehensive Geriatric Assessment which included the Mini-Mental State Examination (MMSE) and the Berg Balance Scale (BBS). Each participant performed an FTSS, with inertial sensors on the thigh and torso, either at home or in the clinical environment. Adaptive peak detection was used to identify phases of each FTSS from torso or thigh-mounted inertial sensors. Features were then extracted from each sensor to quantify the timing, postural sway and variability of each FTSS. The relationship between each feature and MMSE and BBS was examined using Spearman's correlation. Intraclass correlation coefficients were used to examine the intra-session reliability of each feature. A Poisson regression model with an elastic net model selection procedure was used to estimate MMSE and BBS scores, while logistic regression and sequential forward feature selection was used to classify participants according to falls risk, cognitive decline and balance impairment. BBS and MMSE were estimated using cross-validation with low root mean squared errors of 2.91 and 1.50, respectively, while the cross-validated classification accuracies for balance impairment, cognitive decline, and falls risk were 81.96, 72.71, and 68.74%, respectively. The novel methods reported provide surrogate measures which may have utility in remote assessment of physical and cognitive function.
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Affiliation(s)
| | - Emer P. Doheny
- Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
- School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland
| | - Killian McManus
- Kinesis Health Technologies Ltd, Dublin, Ireland
- Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
| | - Brian Caulfield
- Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
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6
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Löppönen A, Karavirta L, Koivunen K, Portegijs E, Rantanen T, Finni T, Delecluse C, Van Roie E, Rantalainen T. Association between free-living sit-to-stand transition characteristics, and lower-extremity performance, fear of falling, and stair negotiation difficulties among community-dwelling 75 to 85-year-old adults. J Gerontol A Biol Sci Med Sci 2022; 77:1644-1653. [PMID: 35313347 PMCID: PMC9373963 DOI: 10.1093/gerona/glac071] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Indexed: 11/28/2022] Open
Abstract
Background Good sit-to-stand (STS) performance is an important factor in maintaining functional independence. This study investigated whether free-living STS transition volume and intensity, assessed by a thigh-worn accelerometer, is associated with characteristics related to functional independence. Methods Free-living thigh-worn accelerometry was recorded continuously for 3–7 days in a population-based sample of 75-, 80-, and 85-year-old community-dwelling people (479 participants; women n = 287, men n = 192). The records were used to evaluate the number and intensity (angular velocity of the STS phase) of STS transitions. Associations with short physical performance battery (SPPB), 5-times-sit-to-stand test (5×STS), isometric knee extension force, self-reported fear of falls, and self-reported difficulty in negotiating stairs were also assessed. Results The number of STS transitions, mean and maximal angular velocity were lower in older age groups (p < .05). All variables were higher in men than in women (p < .001) and were positively associated with SPPB total points, knee extension force (r ranged from 0.18 to 0.39, all p < .001) and negatively associated with 5×STS (r = −0.13 – −0.24, all p < .05), lower extremity functional limitations (p < .01), fear of falls (p < .01), and stair negotiation difficulties (p < .01). Conclusions Free-living STS characteristics were related to lower-extremity performance, lower extremity functional limitations, self-reported fear of falls, and stair negotiation difficulties, which can be a sensitive indicator of impending functional decline. Moreover, STS transitions may provide an indicator of adequacy of lower-limb muscle strength among older individuals.
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Affiliation(s)
- Antti Löppönen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland.,Department of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven, Leuven, Belgium
| | - Laura Karavirta
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Kaisa Koivunen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Erja Portegijs
- University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands
| | - Taina Rantanen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Taija Finni
- Faculty of Sport and Health Sciences and Neuromuscular Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Christophe Delecluse
- Department of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven, Leuven, Belgium
| | - Evelien Van Roie
- Department of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven, Leuven, Belgium
| | - Timo Rantalainen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
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Poitras I, Clouâtre J, Campeau-Lecours A, Mercier C. Accelerometry-Based Metrics to Evaluate the Relative Use of the More Affected Arm during Daily Activities in Adults Living with Cerebral Palsy. SENSORS 2022; 22:s22031022. [PMID: 35161767 PMCID: PMC8839842 DOI: 10.3390/s22031022] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/21/2022] [Accepted: 01/26/2022] [Indexed: 01/27/2023]
Abstract
Adults living with cerebral palsy (CP) report bimanual and unimanual difficulties that interfere with their participation in activities of daily living (ADL). There is a lack of quantitative methods to assess the impact of these motor dysfunctions on the relative use of each arm. The objective of this study was to evaluate the concurrent and discriminative validity of accelerometry-based metrics when used to assess bimanual and unimanual functions. METHODS A group of control subjects and hemiplegic adults living with CP performed six ADL tasks, during which they were wearing an Actigraph GT9X on each wrist and being filmed. Four bimanual and unimanual metrics were calculated from both accelerometry-based and video-based data; these metrics were then compared to one other with an intraclass correlation coefficient (ICC). Some of these metrics were previously validated in other clinical population, while others were novel. The discriminative validity was assessed through comparisons between groups and between tasks. RESULTS The concurrent validity was considered as good to excellent (ICC = 0.61-0.97) depending on the experience of the raters. The tasks made it possible to discriminate between groups. CONCLUSION The proposed accelerometry-based metrics are a promising tool to evaluate bimanual and unimanual functions in adults living with CP.
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Affiliation(s)
- Isabelle Poitras
- Centre for Interdisciplinary Research in Rehabilitation and Social Integration, Centre Intégré Universitaire de Santé et Services Sociaux de la Capitale-Nationale, Quebec City, QC G1M 2S8, Canada; (I.P.); (J.C.); (A.C.-L.)
- Department of Rehabilitation, Laval University, Quebec City, QC G1V 0A6, Canada
| | - Jade Clouâtre
- Centre for Interdisciplinary Research in Rehabilitation and Social Integration, Centre Intégré Universitaire de Santé et Services Sociaux de la Capitale-Nationale, Quebec City, QC G1M 2S8, Canada; (I.P.); (J.C.); (A.C.-L.)
- Department of Mechanical Engineering, Laval University, Quebec City, QC G1V 0A6, Canada
| | - Alexandre Campeau-Lecours
- Centre for Interdisciplinary Research in Rehabilitation and Social Integration, Centre Intégré Universitaire de Santé et Services Sociaux de la Capitale-Nationale, Quebec City, QC G1M 2S8, Canada; (I.P.); (J.C.); (A.C.-L.)
- Department of Mechanical Engineering, Laval University, Quebec City, QC G1V 0A6, Canada
| | - Catherine Mercier
- Centre for Interdisciplinary Research in Rehabilitation and Social Integration, Centre Intégré Universitaire de Santé et Services Sociaux de la Capitale-Nationale, Quebec City, QC G1M 2S8, Canada; (I.P.); (J.C.); (A.C.-L.)
- Department of Rehabilitation, Laval University, Quebec City, QC G1V 0A6, Canada
- Correspondence:
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Marques DL, Neiva HP, Pires IM, Zdravevski E, Mihajlov M, Garcia NM, Ruiz-Cárdenas JD, Marinho DA, Marques MC. An Experimental Study on the Validity and Reliability of a Smartphone Application to Acquire Temporal Variables during the Single Sit-to-Stand Test with Older Adults. SENSORS 2021; 21:s21062050. [PMID: 33803927 PMCID: PMC8000467 DOI: 10.3390/s21062050] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 02/17/2021] [Accepted: 03/11/2021] [Indexed: 12/26/2022]
Abstract
Smartphone sensors have often been proposed as pervasive measurement systems to assess mobility in older adults due to their ease of use and low-cost. This study analyzes a smartphone-based application’s validity and reliability to quantify temporal variables during the single sit-to-stand test with institutionalized older adults. Forty older adults (20 women and 20 men; 78.9 ± 8.6 years) volunteered to participate in this study. All participants performed the single sit-to-stand test. Each sit-to-stand repetition was performed after an acoustic signal was emitted by the smartphone app. All data were acquired simultaneously with a smartphone and a digital video camera. The measured temporal variables were stand-up time and total time. The relative reliability and systematic bias inter-device were assessed using the intraclass correlation coefficient (ICC) and Bland-Altman plots. In contrast, absolute reliability was assessed using the standard error of measurement and coefficient of variation (CV). Inter-device concurrent validity was assessed through correlation analysis. The absolute percent error (APE) and the accuracy were also calculated. The results showed excellent reliability (ICC = 0.92–0.97; CV = 1.85–3.03) and very strong relationships inter-devices for the stand-up time (r = 0.94) and the total time (r = 0.98). The APE was lower than 6%, and the accuracy was higher than 94%. Based on our data, the findings suggest that the smartphone application is valid and reliable to collect the stand-up time and total time during the single sit-to-stand test with older adults.
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Affiliation(s)
- Diogo Luís Marques
- Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal; (D.L.M.); (H.P.N.); (D.A.M.)
| | - Henrique Pereira Neiva
- Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal; (D.L.M.); (H.P.N.); (D.A.M.)
- Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, 6201-001 Covilhã, Portugal
| | - Ivan Miguel Pires
- Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal; (I.M.P.); (N.M.G.)
- Computer Science Department, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal
- Health Sciences Research Unit: Nursing, School of Health, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal
| | - Eftim Zdravevski
- Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North Macedonia;
| | - Martin Mihajlov
- Laboratory for Open Systems and Networks, Jozef Stefan Institute, 1000 Ljubljana, Slovenia;
| | - Nuno M. Garcia
- Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal; (I.M.P.); (N.M.G.)
| | - Juan Diego Ruiz-Cárdenas
- Physiotherapy Department, Faculty of Health Sciences, Catholic University of Murcia, 30107 Murcia, Spain;
| | - Daniel Almeida Marinho
- Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal; (D.L.M.); (H.P.N.); (D.A.M.)
- Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, 6201-001 Covilhã, Portugal
| | - Mário Cardoso Marques
- Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal; (D.L.M.); (H.P.N.); (D.A.M.)
- Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, 6201-001 Covilhã, Portugal
- Correspondence:
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9
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Kim EK, Lee CS, Yoo Y, Park JW, Kim JS, Kim Y, Moon JY, Kim YC. The Long-term Effectiveness of the Automatic Position-Adaptive System in Spinal Cord Stimulation: A Retrospective Comparative Study with a Two-Year Follow-up. PAIN MEDICINE 2020; 21:2288-2297. [PMID: 32443142 DOI: 10.1093/pm/pnaa121] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To compare the nonadaptive manual system with the position-adaptive system in subjects with permanent spinal cord stimulator (SCS) implantation over a two-year follow-up period. DESIGN Retrospective study. SETTING Tertiary university-based national hospital. SUBJECTS Patients who underwent permanent SCS implantation procedures. METHODS Patients were divided into an adaptive group and a nonadaptive group according to the type of implanted SCS device. The primary outcome was the change (%) in pain intensity from baseline between the adaptive and nonadaptive groups at 24 months after SCS implantation. The secondary outcomes were comparisons of detailed clinical variables such as the scores of patient pain and satisfaction during the two-year follow-up after SCS therapy. Further, the number of subjects with SCS removal or revision within two years after SCS implantation was investigated. RESULTS Of 187 patients with permanent SCS implantation, 85 in the nonadaptive group and 64 in the position-adaptive group were finally analyzed. The reduction in pain intensity at 24 months was higher in the adaptive group (-38.6%) than in the nonadaptive group (-30.8%, P = 0.05). Similarly, patient satisfaction with the SCS treatment at 24 months was superior in the adaptive group than in the nonadaptive group (85.7% vs 67.5% were satisfied in each group, respectively, P = 0.024). During the two years, 5.3% of patients (N = 10) underwent SCS removal and 7.0% (N = 13) underwent revision procedures. CONCLUSIONS There was a trend of a sustained reduction in pain intensity as well as improvement in patient satisfaction at two-year follow-up in the position-adaptive system, suggesting long-term benefit over the nonadaptive manual system during SCS treatment.
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Affiliation(s)
- Eun Kyoung Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chang-Soon Lee
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Integrated Cancer Care Center, Seoul National University Cancer Hospital, Seoul, Republic of Korea
| | - Yongjae Yoo
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Integrated Cancer Care Center, Seoul National University Cancer Hospital, Seoul, Republic of Korea
| | - Jin-Woo Park
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jung Soo Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Youngwon Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jee Youn Moon
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Integrated Cancer Care Center, Seoul National University Cancer Hospital, Seoul, Republic of Korea
| | - Yong-Chul Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
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Sit-To-Stand Movement Evaluated Using an Inertial Measurement Unit Embedded in Smart Glasses-A Validation Study. SENSORS 2020; 20:s20185019. [PMID: 32899618 PMCID: PMC7570552 DOI: 10.3390/s20185019] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 08/20/2020] [Accepted: 09/02/2020] [Indexed: 12/16/2022]
Abstract
Wearable sensors have recently been used to evaluate biomechanical parameters of everyday movements, but few have been located at the head level. This study investigated the relative and absolute reliability (intra- and inter-session) and concurrent validity of an inertial measurement unit (IMU) embedded in smart eyeglasses during sit-to-stand (STS) movements for the measurement of maximal acceleration of the head. Reliability and concurrent validity were investigated in nineteen young and healthy participants by comparing the acceleration values of the glasses’ IMU to an optoelectronic system. Sit-to-stand movements were performed in laboratory conditions using standardized tests. Participants wore the smart glasses and completed two testing sessions with STS movements performed at two speeds (slow and comfortable) under two different conditions (with and without a cervical collar). Both the vertical and anteroposterior acceleration values were collected and analyzed. The use of the cervical collar did not significantly influence the results obtained. The relative reliability intra- and inter-session was good to excellent (i.e., intraclass correlation coefficients were between 0.78 and 0.91) and excellent absolute reliability (i.e., standard error of the measurement lower than 10% of the average test or retest value) was observed for the glasses, especially for the vertical axis. Whatever the testing sessions in all conditions, significant correlations (p < 0.001) were found for the acceleration values recorded either in the vertical axis and in the anteroposterior axis between the glasses and the optoelectronic system. Concurrent validity between the glasses and the optoelectronic system was observed. Our observations indicate that the IMU embedded in smart glasses is accurate to measure vertical acceleration during STS movements. Further studies should investigate the use of these smart glasses to assess the STS movement in unstandardized settings (i.e., clinical and/or home) and to report vertical acceleration values in an elderly population of fallers and non-fallers.
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Cuesta-Vargas AI, Pajares B, Trinidad-Fernandez M, Alba E, Roldan-Jiménez C. Inertial Sensors Embedded in Smartphones as a Tool for Fatigue Assessment Based on Acceleration in Survivors of Breast Cancer. Phys Ther 2020; 100:447-456. [PMID: 32031221 DOI: 10.1093/ptj/pzz173] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 06/05/2019] [Accepted: 09/23/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Cancer-related fatigue is a symptom commonly reported in survivors of breast cancer and is the most variable symptom. Besides questionnaires like PIPER to assess cancer-related fatigue, there is a need to objectively measure fatigue. OBJECTIVE The aim of this study was to assess the physiological dimension of fatigue based on acceleration during a 30-second maximal sit-to-stand test. DESIGN This was a cross-sectional study. METHODS Linear acceleration from a smartphone placed on the sternum was recorded in 70 survivors of breast cancer. Fourth-degree polynomial adjustment from the acceleration signal to the vertical and anterior-posterior axis was calculated. The fatigue temporal cut-off point was detected as a change in the curve slope of the first maximum point of acceleration. RESULTS Women were aged 51.8 (8.9) years with a body mass index of 25.4 (5.1) Kg/m2. They performed 23.6 (6.57) number of repetitions. The mean fatigue cut-off point from the total sample was 10.2 (3.1) seconds. LIMITATIONS Further research should employ time-prolonged tests to study acceleration behavior beyond 30 seconds as well as include a physiological criterion that justifies the nonlinear saturation of the acceleration-based criterion. CONCLUSIONS This study assessed fatigue through a low-cost and easy-to-use methodology during a functional and widely used test such as 30-second maximal sit-to-stand. This would allow clinicians to assess fatigue in a short-effort exercise to individualize exercise prescription dose, measure changes during intervention, and track fatigue objectively throughout survivorship.
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Affiliation(s)
- Antonio Ignacio Cuesta-Vargas
- Physical Therapy Department, Health Sciences Faculty, University of Málaga, Av/Arquitecto Penalosa s/n (Treatinos Campus Expansion), Málaga 29071 Spain; The Institute of Biomedical Research in Malaga (IBIMA), Malaga, Spain; and School of Clinical Science, Faculty of Health Science, Queensland University Technology, Brisbane, Queensland, Australia
| | - Bella Pajares
- The Institute of Biomedical Research in Malaga (IBIMA)
| | | | - Emilio Alba
- University of Málaga, Andalucia Tech, and The Institute of Biomedical Research in Malaga (IBIMA), Oncology
| | - Cristina Roldan-Jiménez
- Physical Therapy Department, Health Sciences Faculty, University of Málaga, Andalucía Tech, Málaga, Spain, and The Institute of Biomedical Research in Malaga (IBIMA)
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Optimized scoring tool to quantify the functional performance during the sit-to-stand transition with a magneto-inertial measurement unit. Clin Biomech (Bristol, Avon) 2019; 69:109-114. [PMID: 31330459 DOI: 10.1016/j.clinbiomech.2019.07.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 07/05/2019] [Accepted: 07/10/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Sit-to-stand is used as a qualitative test to evaluate functional performance, especially to detect fall risks and frail individuals. The use of various quantitative criteria would enable a better understanding of musculoskeletal deficits and movement strategy modifications. This quantification was proven possible with a magneto-inertial unit which provides a compatible wearable device for clinical routine motion analysis. METHODS Sit-to-stand movements were recorded using a single magneto-inertial measurement unit fixed on the chest for 74 subjects in three groups healthy young, healthy senior and frail. MIMU data was used to compute 15 spatiotemporal, kinematic and energetic parameters. Nonparametric statistical test showed a significant influence of age and frailness. After reducing the number of parameters by a principal component analysis, an AgingScore and a FrailtyScore were computed. FINDINGS The fraction of variance explained by the first principal component was 77.48 ± 2.80% for principal component analysis with healthy young and healthy senior groups, and 74.94 ± 2.24% with healthy and frail senior groups. By receiver operating characteristic curve analysis of this score, we were able to refine the analysis to differentiate between healthy young and healthy senior subjects as well as healthy senior and frail subjects. By radar plot of the most discriminate parameters, the motion's strategy could be characterized and be used to detect premature functional deficit or frail subjects. INTERPRETATION Sit-to-stand measured by a single magneto-inertial unit and dedicated post processing is able to quantify subject's musculoskeletal performance and will allow longitudinal investigation of aging population.
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Bet P, Castro PC, Ponti MA. Fall detection and fall risk assessment in older person using wearable sensors: A systematic review. Int J Med Inform 2019; 130:103946. [PMID: 31450081 DOI: 10.1016/j.ijmedinf.2019.08.006] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 07/15/2019] [Accepted: 08/07/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND wearable sensors are often used to acquire data for gait analysis as a strategy to study fall events, due to greater availability of acquisition platforms, and advances in computational intelligence. However, there are no review papers addressing the three most common types of applications related to fall using sensors, namely: fall detection, fallers classification and fall risk screening. OBJECTIVE To identify the state of art of fall-related events detection in older person using wearable sensors, as well as the main characteristics of the studies in the literature, pointing gaps for future studies. METHODS A systematic review design was used to search peer-reviewed literature on fall detection and risk in elderly through inertial sensors, published in English, Portuguese, Spanish or French between August 2002 and June 2019. The following questions are investigated: the type of sensors and their sampling rate, the type of signal and data processing employed, the scales and tests used in the study and the type of application. RESULTS We identified 608 studies, from which 29 were included. The accelerometer, with sampling rate 50 or 100 Hz, allocated in the waist or lumbar was the most used sensor setting. Methods comparing features or variables extracted from the accelerometry signal are the most common, and fall risk screening the most observed application. CONCLUSION This review identifies the main elements to be addressed in studies on the detection of events related to falls in the elderly and may help in future studies on the subject. However, some aspects are still no reach consensus in the literature such as the size of the sample to be studied, the population under study and how to acquire data for each application.
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Affiliation(s)
- Patricia Bet
- DGero - Universidade Federal de São Carlos, São Carlos, SP, Brazil.
| | - Paula C Castro
- DGero - Universidade Federal de São Carlos, São Carlos, SP, Brazil
| | - Moacir A Ponti
- ICMC - Universidade de São Paulo, São Carlos, 13566-590, SP, Brazil
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Roldán Jiménez C, Bennett P, Ortiz García A, Cuesta Vargas AI. Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study. SENSORS 2019; 19:s19194202. [PMID: 31569776 PMCID: PMC6806592 DOI: 10.3390/s19194202] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 09/18/2019] [Accepted: 09/26/2019] [Indexed: 12/19/2022]
Abstract
The latest studies of the 30-second sit-to-stand (30-STS) test aim to describe it by employing kinematic variables, muscular activity, or fatigue through electromyography (EMG) instead of a number of repetitions. The aim of the present study was to develop a detection system based on acceleration measured using a smartphone to analyze fatigue during the 30-STS test with surface electromyography as the criterion. This case study was carried out on one woman, who performed eight trials. EMG data from the lower limbs and trunk muscles, as well as trunk acceleration were recorded. Both signals from eight trials were preprocessed, being averaged and temporarily aligned. The EMG signal was processed, calculating the spectral centroid (SC) by Discrete Fourier Transform, while the acceleration signal was processed by Discrete Wavelet Transform to calculate its energy percentage. Regarding EMG, fatigue in the vastus medialis of the quadriceps appeared as a decrease in SC, with a descending slope of 12% at second 12, indicating fatigue. However, acceleration analysis showed an increase in the percentage of relative energy, acting like fatigue firing at second 19. This assessed fatigue according to two variables of a different nature. The results will help clinicians to obtain information about fatigue using an accessible and inexpensive device, i.e., as a smartphone.
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Affiliation(s)
- Cristina Roldán Jiménez
- Instituto de Biomedicina de Málaga (IBIMA), Grupo de Clinimetría (F-14), 29010 Málaga ,Spain.
| | - Paul Bennett
- School of Clinical Science, Faculty of Health Science, Queensland University Technology, Queensland, Kelvin Grove QLD 4059, Australia.
| | - Andrés Ortiz García
- Department of Engineering Communication, Faculty of Health Sciences, Universidad de Malaga, 29010 Málaga, Spain.
| | - Antonio I Cuesta Vargas
- Instituto de Biomedicina de Málaga (IBIMA), Grupo de Clinimetría (F-14), 29010 Málaga ,Spain.
- School of Clinical Science, Faculty of Health Science, Queensland University Technology, Queensland, Kelvin Grove QLD 4059, Australia.
- Department of Physiotherapy. University of Malaga, Faculty of Health Sciences, 29071 Malaga, Spain.
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15
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Quantifying sit-to-stand and stand-to-sit transitions in free-living environments using the activPAL thigh-worn activity monitor. Gait Posture 2019; 73:140-146. [PMID: 31325738 DOI: 10.1016/j.gaitpost.2019.07.126] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 05/15/2019] [Accepted: 07/01/2019] [Indexed: 02/02/2023]
Abstract
PURPOSE Standing up, sitting down and walking require considerable effort and coordination, which are crucial indicators to rehabilitation (e.g. stroke), and in older populations may indicate the onset of frailty and physical and cognitive decline. Currently, there are few reports robustly quantifying sit-to-stand and stand-to-sit transitions in free-living environments. The aim of this study was to identify and quantify these transitions using the peak velocity of sit-to-stand and stand-to-sit transitions to determine if these velocities were different in a healthy cohort and a mobility-impaired population. METHODS Free-living sit-to-stand and stand-to-sit acceleration data were recorded from 21 healthy volunteers and 34 stroke survivors using activPAL3™ monitors over a one-week period. Thigh inclination velocity was calculated from these accelerometer data. Maximum velocities were compared between populations. RESULTS A total of 10,299 and 11,392 sit-to-stand and stand-to-sit transitions were recorded in healthy volunteers and stroke survivors, respectively. Healthy volunteers had significantly higher overall mean peak velocities for both transitions compared with stroke survivors [70.7°/s ± 52.2 versus 44.2°/s ± 28.0 for sit-to-stand, P < 0.001 and 74.7°/s ± 51.8 versus 46.0°/s ± 31.9 for stand-to-sit; P < 0.001]. Mean peak velocity of transition was associated with increased variation in peak velocity across both groups. CONCLUSION There were significant differences in the mean peak velocity of sit-to-stand and stand-to-sit transitions between the groups. Variation in an individual's mean peak velocity may be associated with the ability to perform these transitions. This method could be used to evaluate the effectiveness of interventions following injury such as stroke, as well as monitor decline in functional ability.
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Roldán-Jiménez C, Cuesta-Vargas AI, Bennett P. Assessing trunk flexo-extension during sit-to-stand test variant in male and female healthy subjects through inertial sensors. PHYSICIAN SPORTSMED 2019; 47:152-157. [PMID: 30334642 DOI: 10.1080/00913847.2018.1538542] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
OBJECTIVE The objective of the present study was to measure trunk flexo-extension during different Sit-To-Stand (STS) tasks and to analyze differences in those variables when STS repetitions are increased, by using an inertial sensor. METHODS In this cross-sectional study trunk flexo-extension was obtained through inertial measurements using an inertial sensor placed on the flat part of the sternum with the Y transversally oriented and attached using double-sided adhesive tape. Trunk flexo-extension was expressed along the Y axis (pitch angle) in a sagittal plane, representing antero-posterior motion (degrees, °). Descriptive anthropometric independent variables were also recorded. Subject had to sit and rise from a 43 cm high chair at a speed of 40 bpm in 5, 10 and 15 repetitions of STS variants. RESULTS Men showed higher mean mobility (between 41.51° and 43.23°) than women (between 32.16° and 33.31°) in all STS test, although significant was only found for 10-STS and 15-STS (<0.05). Male gender showed stronger Pearson correlation between each test than female gender. In men, correlations were highly significant in all tests (r between 0.891 and 0.939). However, in the case of women, significance varied between each test comparison (r between 0.474 and 0.745). There were no significant differences observed between trunk flexo-extension and STS variants (p = 0.908; F = 0.097). CONCLUSION Men showed a wider range of trunk motion and a more consistent pattern than women through STS variants. However, no significant differences were found in mobility between each test. The results provided in this study should be taken into account when performing STS in this population and should be applied only to a healthy population.
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Affiliation(s)
- Cristina Roldán-Jiménez
- a Department of Physiotherapy, Faculty of Health Sciences , Universidad de Malaga and Instituto de Investigación de Biomedicina de Malaga (IBIMA) , Málaga , Spain
| | - Antonio I Cuesta-Vargas
- a Department of Physiotherapy, Faculty of Health Sciences , Universidad de Malaga and Instituto de Investigación de Biomedicina de Malaga (IBIMA) , Málaga , Spain.,b School of Clinical Science, Faculty of Health Science , Queensland University Technology , Brisbane , Australia
| | - Paul Bennett
- b School of Clinical Science, Faculty of Health Science , Queensland University Technology , Brisbane , Australia
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Witchel HJ, Oberndorfer C, Needham R, Healy A, Westling CEI, Guppy JH, Bush J, Barth J, Herberz C, Roggen D, Eskofier BM, Rashid W, Chockalingam N, Klucken J. Thigh-Derived Inertial Sensor Metrics to Assess the Sit-to-Stand and Stand-to-Sit Transitions in the Timed Up and Go (TUG) Task for Quantifying Mobility Impairment in Multiple Sclerosis. Front Neurol 2018; 9:684. [PMID: 30271371 PMCID: PMC6149240 DOI: 10.3389/fneur.2018.00684] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 07/30/2018] [Indexed: 11/23/2022] Open
Abstract
Introduction: Inertial sensors generate objective and sensitive metrics of movement disability that may indicate fall risk in many clinical conditions including multiple sclerosis (MS). The Timed-Up-And-Go (TUG) task is used to assess patient mobility because it incorporates clinically-relevant submovements during standing. Most sensor-based TUG research has focused on the placement of sensors at the spine, hip or ankles; an examination of thigh activity in TUG in multiple sclerosis is wanting. Methods: We used validated sensors (x-IMU by x-io) to derive transparent metrics for the sit-to-stand (SI-ST) transition and the stand-to-sit (ST-SI) transition of TUG, and compared effect sizes for metrics from inertial sensors on the thighs to effect sizes for metrics from a sensor placed at the L3 level of the lumbar spine. Twenty-three healthy volunteers were compared to 17 ambulatory persons with MS (PwMS, HAI ≤ 2). Results: During the SI-ST transition, the metric with the largest effect size comparing healthy volunteers to PwMS was the Area Under the Curve of the thigh angular velocity in the pitch direction-representing both thigh and knee extension; the peak of the spine pitch angular velocity during SI-ST also had a large effect size, as did some temporal measures of duration of SI-ST, although less so. During the ST-SI transition the metric with the largest effect size in PwMS was the peak of the spine angular velocity curve in the roll direction. A regression was performed. Discussion: We propose for PwMS that the diminished peak angular velocity during SI-ST directly represents extensor weakness, while the increased roll during ST-SI represents diminished postural control. Conclusions: During the SI-ST transition of TUG, angular velocities can discriminate between healthy volunteers and ambulatory PwMS better than temporal features. Sensor placement on the thighs provides additional discrimination compared to sensor placement at the lumbar spine.
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Affiliation(s)
- Harry J. Witchel
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | | | - Robert Needham
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, United Kingdom
| | - Aoife Healy
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, United Kingdom
| | | | - Joseph H. Guppy
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Jake Bush
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Jens Barth
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | | | - Daniel Roggen
- Department of Engineering and Design, University of Sussex, Brighton, United Kingdom
| | - Björn M. Eskofier
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Waqar Rashid
- Hurstwood Park Neuroscience Centre, Haywards Heath, United Kingdom
| | - Nachiappan Chockalingam
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, United Kingdom
| | - Jochen Klucken
- Molekulare Neurologie, Universitätsklinikum Erlangen, Erlangen, Germany
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González Rojas HA, Cuevas PC, Zayas Figueras EE, Foix SC, Sánchez Egea AJ. Time measurement characterization of stand-to-sit and sit-to-stand transitions by using a smartphone. Med Biol Eng Comput 2017; 56:879-888. [PMID: 29063366 DOI: 10.1007/s11517-017-1728-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 10/04/2017] [Indexed: 11/26/2022]
Abstract
The aim of this study is to analyze a common method to measure the acceleration of a daily activity pattern by using a smartphone. In this sense, a numerical approach is proposed to transform the relative acceleration signal, recorded by a triaxial accelerometer, into an acceleration referred to an inertial reference. The integration of this acceleration allows to determine the velocity and position with respect to an inertial reference. Two different kinematic parameters are suggested to characterize the profile of the velocity during the sit-to-stand and stand-to-sit transitions for Parkinson and control subjects. The results show that a dimensionless kinematic parameter, which is linked to the time of sit-to-stand and stand-to-sit transitions, has the potential to differentiate between Parkinson and control subjects.
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Affiliation(s)
- Hernán A González Rojas
- Department of Mechanical Engineering (EPSEVG), Universitat Politécnica de Catalunya, Av. de Víctor Balaguer 1, Vilanova i la Geltrú, 08800, Barcelona, Spain.
| | - Pedro Chaná Cuevas
- Centro de Trastornos del Movimiento (CETRAM), Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Belisario Prats, 1597 B, Independencia, Santiago, Chile
| | - Enrique E Zayas Figueras
- Department of Mechanical Engineering (ETSEIB), Universitat Politécnica de Catalunya, Av. Diagonal, 647, 08028, Barcelona, Spain
| | - Salvador Cardona Foix
- Department of Mechanical Engineering (ETSEIB), Universitat Politécnica de Catalunya, Av. Diagonal, 647, 08028, Barcelona, Spain
| | - Antonio J Sánchez Egea
- Department of Mechanical Engineering (EPSEVG), Universitat Politécnica de Catalunya, Av. de Víctor Balaguer 1, Vilanova i la Geltrú, 08800, Barcelona, Spain
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Asakura T, Miyazawa Y, Usuda S. The validity of an accelerometer-based method for estimating fluidity in the sit-to-walk task in a community setting. J Phys Ther Sci 2017; 29:133-137. [PMID: 28210059 PMCID: PMC5300825 DOI: 10.1589/jpts.29.133] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 10/17/2016] [Indexed: 11/24/2022] Open
Abstract
[Purpose] Fluidity in the sit-to-walk task has been quantitatively measured with three-dimensional motion analysis system. The purpose of this study was to determine the validity of an accelerometer-based method for estimating fluidity in community-dwelling elderly individuals. [Subjects and Methods] Seventeen community-dwelling elderly females performed a sit-to-walk task. The motion was recorded by an accelerometer, a three-dimensional motion analysis system and a foot pressure sensor simultaneously. The timings of events determined from the acceleration waveform were compared to the timings determined from the three-dimensional motion analysis data (task onset, maximum trunk inclination) or foot pressure sensor data (first heel strike). Regression analysis was used to estimate the fluidity index from the duration between events. [Results] The characteristics of the acceleration waveform were similar to those previously reported in younger adults. Comparisons of event timings from accelerometer and motion analysis system data indicated no systematic bias. Regression analysis showed that the duration from maximum trunk inclination to the first heel strike was the best predictor of fluidity index. [Conclusion] An accelerometer-based method using the duration between characteristic events may be used to precisely and conveniently assess fluidity in a sit-to-walk task in a community setting.
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Affiliation(s)
| | | | - Shigeru Usuda
- Gunma University Graduate School of Health Sciences, Japan
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Swinnen TW, Milosevic M, Van Huffel S, Dankaerts W, Westhovens R, de Vlam K. Instrumented BASFI (iBASFI) Shows Promising Reliability and Validity in the Assessment of Activity Limitations in Axial Spondyloarthritis. J Rheumatol 2016; 43:1532-40. [PMID: 27307537 DOI: 10.3899/jrheum.150439] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2016] [Indexed: 11/22/2022]
Abstract
OBJECTIVE The Bath Ankylosing Spondylitis Functional Index (BASFI) is the most popular method to assess activity capacity in axial spondyloarthritis (axSpA), to our knowledge. It is endorsed by the Assessment of Spondyloarthritis international Society. But it may have recall bias or aberrant self-judgments in individual patients. Therefore, we aimed to (1) develop the instrumented BASFI (iBASFI) by adding a body-worn accelerometer with automated algorithms to performance-based measurements (PBM), (2) study the iBASFI's core psychometric properties, and (3) reduce the number of iBASFI items. METHODS Twenty-eight patients with axSpA wore a 2-axial accelerometer while completing 12 PBM derived from the BASFI. A chronometer and both manual and "automated algorithm-based" acceleration segmentation identified movement time. Test-retest trials and methods (algorithm vs manual segmentation/chronometer/BASFI) were compared with ICC, standard error of measurement [percentage of movement time (SEM%)], and Spearman ρ correlation coefficients. Linear regression identified the optimal set of reliable iBASFI PBM. RESULTS Good to excellent test-retest reliability was found for 8/12 iBASFI items (ICC range 0.812-0.997, SEM range 0.4-30.4%), typically with repeated and fast movements. Automated algorithms excellently mimicked manual segmentation (ICC range 0.900-0.998) and the chronometer (ICC range 0.878-0.998) for 10/12 iBASFI items. Construct validity compared with the BASFI was confirmed for 7/12 iBASFI items (δ range 0.504-0.755). Together, sit-to-stand speed test (stBeta 0.483), cervical rotation (stBeta -0.392), and height (stBeta -0.375) explained 59% of the variance in the BASFI (p < 0.01). CONCLUSION The proof-of-concept iBASFI showed promising reliability and validity in measuring activity capacity. The number of the iBASFI's PBM may be minimized, but further validation in larger axSpA cohorts is needed before its clinical use.
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Affiliation(s)
- Thijs Willem Swinnen
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Milica Milosevic
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Sabine Van Huffel
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Wim Dankaerts
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Rene Westhovens
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Kurt de Vlam
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven.
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Masse F, Gonzenbach R, Paraschiv-Ionescu A, Luft AR, Aminian K. Wearable Barometric Pressure Sensor to Improve Postural Transition Recognition of Mobility-Impaired Stroke Patients. IEEE Trans Neural Syst Rehabil Eng 2016; 24:1210-1217. [PMID: 27046903 DOI: 10.1109/tnsre.2016.2532844] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Sit-to-stand and Stand-to-sit transfers (STS) provide relevant information regarding the functional limitation of mobility-impaired patients. The characterization of STS pattern using a single trunk fixed inertial sensor has been proposed as an objective tool to assess changes in functional ability and balance due to disease. Despite significant research efforts, STS quantification remains challenging due to the high inter- and between- subject variability of this motion pattern. The present study aims to improve the performance of STS detection and classification by fusing the information from barometric pressure (BP) and inertial sensors while keeping a single sensor located at the trunk. A total number of 345 STSs were recorded from 12 post-stroke patients monitored in a semi-structured conditioned protocol. Model-based features of BP signal were combined with kinematic parameters from accelerometer and/or gyroscope and used in a logistic regression-based classifier to detect STS and then identify their types. The correct classification rate was 90.6% with full sensor (BP and inertial) configuration and 75.4% with single inertial sensor. Receiver-Operating-Characteristics analysis was carried out to characterize the robustness of the models. The results demonstrate the potential of BP sensor to improve the detection and classification of STSs when monitoring is performed unobtrusively in every-day life.
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Walgaard S, Faber GS, van Lummel RC, van Dieën JH, Kingma I. The validity of assessing temporal events, sub-phases and trunk kinematics of the sit-to-walk movement in older adults using a single inertial sensor. J Biomech 2016; 49:1933-1937. [PMID: 27017301 DOI: 10.1016/j.jbiomech.2016.03.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Revised: 03/02/2016] [Accepted: 03/10/2016] [Indexed: 11/30/2022]
Abstract
The aim of this study was to develop a method to identify temporal events, sub-phases and trunk kinematics of the sit-to-walk (STW) using a single inertial sensor (IS) worn at the lower back and to determine the validity of this method. Twenty-seven healthy older adults performed a STW movement, which started from sitting in a chair and included walking 3m. Participants׳ movements were recorded with the IS, a reference measurement system consisting of an optical motion capture system (3 markers on the IS and one on each foot) and on-off switches located in the seat of the chair. Using the data from the IS and the reference measurement systems, the following signals and variables were calculated and compared: 3D IS motion (accelerations, velocities, displacements and angles), temporal events (start of trunk movement, seat-off, end of trunk flexion phase, end of trunk rising phase and gait initiation) and trunk kinematics (flexion range, maximum flexion velocity, maximum forward velocity and forward velocity during seat-off and at first heel-strike and maximum vertical velocity and vertical velocity at first heel-strike). For most variables acceptable differences (RMSE<10%) were found between IS and reference measurement systems, except for sideways displacements and non-sagittal plane rotations. Furthermore, good results were found for temporal event detection, with ICC values for all variables being 0.988 or higher. With exception of the vertical velocity at heel-strike agreement for trunk kinematics was high, with ICC values being 0.867 or higher.
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Affiliation(s)
| | - Gert S Faber
- Research Institute MOVE, Department of Human Movement Sciences, VU University Amsterdam, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands
| | | | - Jaap H van Dieën
- Research Institute MOVE, Department of Human Movement Sciences, VU University Amsterdam, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands
| | - Idsart Kingma
- Research Institute MOVE, Department of Human Movement Sciences, VU University Amsterdam, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands
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Asakura T, Hagiwara H, Miyazawa Y, Usuda S. An accelerometer-based method for estimating fluidity in the sit-to-walk task. J Phys Ther Sci 2015; 27:3565-9. [PMID: 26696739 PMCID: PMC4681946 DOI: 10.1589/jpts.27.3565] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 08/24/2015] [Indexed: 11/24/2022] Open
Abstract
[Purpose] The purpose of this study was to clarify the validity of accelerometer data for
quantifying fluidity during the sit-to-walk task. [Subjects] The participants were 16
healthy young males. [Methods] The timing of events (task onset, maximum trunk
inclination, and first heel strike) was determined from the acceleration waveform and
compared to the timing determined from a three-dimensional motion analysis (task onset,
maximum trunk inclination) or foot pressure sensor data (first heel strike). Regression
analysis was used to estimate the fluidity index (FI) from the duration between events and
the magnitude of the acceleration peak. The task was performed at two speeds (comfortable
and maximum). [Results] A comparison of the timings from two different systems indicated
no systematic bias. Specific events could be identified from acceleration data using
regression analysis under both speed conditions. In addition, significant regression
equations predictive of FI were constructed using the duration between events under both
speed conditions. The duration from the maximum trunk inclination to the first heel strike
was the best predictor of FI. [Conclusion] Accelerometer data may be used to precisely and
conveniently evaluate fluidity. The clinical utility of these data should be tested in
elderly individuals or patient populations.
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Affiliation(s)
- Tomoyuki Asakura
- Graduate School of Health Sciences, Gunma University: 3-39-22 Showa, Maebashi, Gunma 371-8514, Japan
| | - Hikaru Hagiwara
- Graduate School of Health Sciences, Gunma University: 3-39-22 Showa, Maebashi, Gunma 371-8514, Japan
| | - Yoshiyuki Miyazawa
- Graduate School of Health Sciences, Gunma University: 3-39-22 Showa, Maebashi, Gunma 371-8514, Japan
| | - Shigeru Usuda
- Graduate School of Health Sciences, Gunma University: 3-39-22 Showa, Maebashi, Gunma 371-8514, Japan
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Giuberti M, Ferrari G, Contin L, Cimolin V, Azzaro C, Albani G, Mauro A. Automatic UPDRS Evaluation in the Sit-to-Stand Task of Parkinsonians: Kinematic Analysis and Comparative Outlook on the Leg Agility Task. IEEE J Biomed Health Inform 2015; 19:803-14. [PMID: 25910263 DOI: 10.1109/jbhi.2015.2425296] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In this study, we first characterize the sit-to-stand (S2S) task, which contributes to the evaluation of the degree of severity of the Parkinson's disease (PD), through kinematic features, which are then linked to the Unified Parkinson's disease rating scale (UPDRS) scores. We propose to use a single body-worn wireless inertial node placed on the chest of a patient. The experimental investigation is carried out considering 24 PD patients, comparing the obtained results directly with the kinematic characterization of the leg agility (LA) task performed by the same set of patients. We show that i) the S2S and LA tasks are rather unrelated and ii) the UPDRS distributions (for both S2S and LA tasks) across the patients have a direct impact on the observed system performance.
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Reliability and validity of a smartphone-based application for the quantification of the sit-to-stand movement in healthy seniors. Gait Posture 2015; 41:409-13. [PMID: 25467428 DOI: 10.1016/j.gaitpost.2014.11.001] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2014] [Revised: 10/28/2014] [Accepted: 11/03/2014] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Recently, it has been demonstrated that biomechanical parameters measured with accelerometers during everyday activities might provide early information about mobility in seniors. The use of smartphones has been suggested for this purpose. The aim of this study was to develop and validate a smartphone-based application for the quantification of the sit-to-stand movement (STS) in healthy seniors. METHODS Sixteen healthy seniors performed the STS with a smartphone first attached to the lower back and then to the sternum. The subjects' vertical ground reaction forces (VGRF) and vertical acceleration (VAcc) were recorded simultaneously using two force plates (reference standard) and the smartphone, respectively. VAcc data were converted to force; power was then calculated based on both force-time curves. Subsequently, the total movement duration (Ttotal), peak force (Fmax), rate of force development (RFD) and peak power (Pmax) were determined. Relative (intraclass correlation coefficient [ICC]) and absolute (standard error of measurement [SEM]) reliability were also calculated. For the variables showing strong reliability (ICC≥0.75), Pearson correlation coefficients (r) between VGRF- and VAcc-derived data and one-sample T-tests for the mean differences were carried out. RESULTS In the sternal configuration, all variables showed strong reliability (range: 0.86-0.93), except the smartphone-derived parameter RFD (ICC=0.43). Fmax and Ttotal were found to be highly valid (r=0.86 and 0.98, respectively). CONCLUSION The results showed that the smartphone-based application can be used as a reliable and valid tool for the quantification of the STS in healthy seniors if the proposed protocol is followed.
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David S, Schmitt S, Utz J, Hub A, Schlicht W. Navigation within buildings: novel movement detection algorithms supporting people with visual impairments. RESEARCH IN DEVELOPMENTAL DISABILITIES 2014; 35:2026-2034. [PMID: 24864056 DOI: 10.1016/j.ridd.2014.04.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Revised: 04/30/2014] [Accepted: 04/30/2014] [Indexed: 06/03/2023]
Abstract
This study aimed at finding simple algorithms to identify three different movements registered by accelerometer and to detect differences in the acceleration signals of people with and without visual impairments. The Tactile Acoustical Navigation and Information Assistant (TANIA) is construed to provide persons suffering from visual impairments support for an independent navigation indoors and outdoors. Attaining this goal, TANIA uses vertical acceleration signal extrema to assess its user's walking distance. This study investigated first the sit-to-stand movement, stumbling and walking up- and down stairs of 25 subjects with visual impairments using TANIA sensor system. The objective was to improve the user's movement detection using sensors to get valid and reliable data. In a second step of the study it was investigated if there is a difference between the above-mentioned movements in people with or without visual impairments (n=10). The acceleration signals of the subjects were compared. Three simple algorithms were found, which are able to separate the movement signals based on accelerometers of the respective daily movements. The second step analysis revealed a detectable difference in the second phase of stumbling (p=.034), where the subjects had to get back into walking forward. No differences in the other acceleration signals were found.
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Affiliation(s)
- Sina David
- Institute of Sportsciences, Goethe-University, Ginnheimer Landstraße 39, D-60487 Frankfurt am Main, Germany.
| | - Syn Schmitt
- Juni-Prof. Institute of Sport- and Exercise Science, Allmandring 28, University of Stuttgart, D-70569 Stuttgart, Germany.
| | - Julianne Utz
- Julianne Utz, Holzhauserstr. 13, D-70563 Stuttgart, Germany.
| | - Andreas Hub
- BNI Blindnavigation International, Ayestraße 2, D-88441 Mittelbiberach, Germany.
| | - Wolfgang Schlicht
- Prof., Institute of Sport and Exercise Science, Chair Exercise and Health Sciences, University of Stuttgart, Nobelstraße 15, D-70569 Stuttgart, Germany.
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Millor N, Lecumberri P, Gomez M, Martinez-Ramirez A, Izquierdo M. Kinematic parameters to evaluate functional performance of sit-to-stand and stand-to-sit transitions using motion sensor devices: a systematic review. IEEE Trans Neural Syst Rehabil Eng 2014; 22:926-36. [PMID: 25014957 DOI: 10.1109/tnsre.2014.2331895] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Clinicians commonly use questionnaires and tests based on daily life activities to evaluate physical function. However, the outcomes are usually more qualitative than quantitative and subtle differences are not detectable. In this review, we aim to assess the role of body motion sensors in physical performance evaluation, especially for the sit-to-stand and stand-to-sit transitions. In total, 53 full papers and conference abstracts on related topics were included and 16 different parameters related to transition performance were identified as potentially meaningful to explain certain disabilities and impairments. Transition duration is the most used to evaluate chair-related tests in real clinical settings. High-fall-risk fallers and frail subjects presented longer and more variable transition duration. Other kinematic parameters have also been highlighted in the literature as potential means to detect age-related impairments. In particular, vertical linear velocity and trunk tilt range were able to differentiate between different frailty levels. Frequency domain measures such as spectral edge frequency were also higher for elderly fallers. Lastly, approximate entropy values were larger for subjects with Parkinson's disease and were significantly reduced after treatment. This information could help clinicians in their evaluations as well as in prescribing a physical fitness program to correct a specific deficit.
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Doheny EP, Walsh C, Foran T, Greene BR, Fan CW, Cunningham C, Kenny RA. Falls classification using tri-axial accelerometers during the five-times-sit-to-stand test. Gait Posture 2013; 38:1021-5. [PMID: 23791781 DOI: 10.1016/j.gaitpost.2013.05.013] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2012] [Revised: 04/28/2013] [Accepted: 05/20/2013] [Indexed: 02/02/2023]
Abstract
The five-times-sit-to-stand test (FTSS) is an established assessment of lower limb strength, balance dysfunction and falls risk. Clinically, the time taken to complete the task is recorded with longer times indicating increased falls risk. Quantifying the movement using tri-axial accelerometers may provide a more objective and potentially more accurate falls risk estimate. 39 older adults, 19 with a history of falls, performed four repetitions of the FTSS in their homes. A tri-axial accelerometer was attached to the lateral thigh and used to identify each sit-stand-sit phase and sit-stand and stand-sit transitions. A second tri-axial accelerometer, attached to the sternum, captured torso acceleration. The mean and variation of the root-mean-squared amplitude, jerk and spectral edge frequency of the acceleration during each section of the assessment were examined. The test-retest reliability of each feature was examined using intra-class correlation analysis, ICC(2,k). A model was developed to classify participants according to falls status. Only features with ICC>0.7 were considered during feature selection. Sequential forward feature selection within leave-one-out cross-validation resulted in a model including four reliable accelerometer-derived features, providing 74.4% classification accuracy, 80.0% specificity and 68.7% sensitivity. An alternative model using FTSS time alone resulted in significantly reduced classification performance. Results suggest that the described methodology could provide a robust and accurate falls risk assessment.
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Affiliation(s)
- Emer P Doheny
- The TRIL (Technology Research for Independent Living) Centre, Ireland; Health Research and Innovation, Intel Labs, Intel Corporation, Leixlip, Co. Kildare, Ireland.
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Benosman MM, Bereksi-Reguig F, Salerud EG. Analysis of ECG-trunk muscle signal amplitude and heart rate relationship. J Med Eng Technol 2013; 37:449-55. [PMID: 23964696 DOI: 10.3109/03091902.2013.828107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
The objective of this paper is to investigate if bioelectrical signals, generated from trunk muscles identified in an electrocardiogram (ECG) signal presented in this paper as ECG-Trunk Muscles Signals amplitude (Ecg-TMSA) are correlated with Heart rate (HR) during different levels of physical activity and also if Ecg-TMSA is not influenced by mental activity. HR and Ecg-TMSA were derived from ECG in 14 subjects when walking and jogging at different treadmill velocities from 4-10 (km h(-1)). The mean relationship for all 14 subjects was HR = (42.3 ± 0.2) + (45.3 ± 2.8) Ecg-TMSA, r(2 )= 0.91. The result of one individual data points example for a 21 min experiment was (r(2 )= 0.93, p < 0.0001, n = 336). The obtained results show a linear relationship between Ecg-TMSA and HR. Moreover, the Ecg-TMSA was not affected by mental activity.
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Affiliation(s)
- Mourad-M Benosman
- Biomedical Engineering Department, Tlemcen University , Tlemcen, 13000 , Algeria and
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30
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Millor N, Lecumberri P, Gómez M, Martínez-Ramírez A, Izquierdo M. An evaluation of the 30-s chair stand test in older adults: frailty detection based on kinematic parameters from a single inertial unit. J Neuroeng Rehabil 2013; 10:86. [PMID: 24059755 PMCID: PMC3735415 DOI: 10.1186/1743-0003-10-86] [Citation(s) in RCA: 138] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Accepted: 07/31/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A growing interest in frailty syndrome exists because it is regarded as a major predictor of co-morbidities and mortality in older populations. Nevertheless, frailty assessment has been controversial, particularly when identifying this syndrome in a community setting. Performance tests such as the 30-second chair stand test (30-s CST) are a cornerstone for detecting early declines in functional independence. Additionally, recent advances in body-fixed sensors have enhanced the sensors' ability to automatically and accurately evaluate kinematic parameters related to a specific movement performance. The purpose of this study is to use this new technology to obtain kinematic parameters that can identify frailty in an aged population through the performance the 30-s CST. METHODS Eighteen adults with a mean age of 54 years, as well as sixteen pre-frail and thirteen frail patients with mean ages of 78 and 85 years, respectively, performed the 30-s CST while their trunk movements were measured by a sensor-unit at vertebra L3. Sit-stand-sit cycles were determined using both acceleration and orientation information to detect failed attempts. Movement-related phases (i.e. impulse, stand-up, and sit-down) were differentiated based on seat off and seat on events. Finally, the kinematic parameters of the impulse, stand-up and sit-down phases were obtained to identify potential differences across the three frailty groups. RESULTS For the stand-up and sit-down phases, velocity peaks and "modified impulse" parameters clearly differentiated subjects with different frailty levels (p < 0.001). The trunk orientation range during the impulse phase was also able to classify a subject according to his frail syndrome (p < 0.001). Furthermore, these parameters derived from the inertial units (IUs) are sensitive enough to detect frailty differences not registered by the number of completed cycles which is the standard test outcome. CONCLUSIONS This study shows that IUs can enhance the information gained from tests currently used in clinical practice, such as the 30-s CST. Parameters such as velocity peaks, impulse, and orientation range are able to differentiate between adults and older populations with different frailty levels. This study indicates that early frailty detection could be possible in clinical environments, and the subsequent interventions to correct these disabilities could be prescribed before further degradation occurs.
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Affiliation(s)
- Nora Millor
- Research, Studies and Sport Medicine Centre, Government of Navarra, Pamplona, Spain
- Department of Mathematics, Public University of Navarra, Pamplona, Spain
| | - Pablo Lecumberri
- Department of Mathematics, Public University of Navarra, Pamplona, Spain
| | - Marisol Gómez
- Department of Mathematics, Public University of Navarra, Pamplona, Spain
| | | | - Mikel Izquierdo
- Department of Health Sciences, Public University of Navarra, Pamplona, Spain
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Millor N, Lecumberri P, Gomez M, Martinez-Ramirez A, Rodriguez-Manas L, Garcia-Garcia FJ, Izquierdo M. Automatic Evaluation of the 30-s Chair Stand Test Using Inertial/Magnetic-Based Technology in an Older Prefrail Population. IEEE J Biomed Health Inform 2013; 17:820-7. [DOI: 10.1109/jbhi.2013.2238243] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Doheny EP, McGrath D, Ditroilo M, Mair JL, Greene BR, Caulfield B, De Vito G, Lowery MM. Effects of a low-volume, vigorous intensity step exercise program on functional mobility in middle-aged adults. Ann Biomed Eng 2013; 41:1748-57. [PMID: 23568151 DOI: 10.1007/s10439-013-0804-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2012] [Accepted: 04/02/2013] [Indexed: 11/28/2022]
Abstract
Aging-related decline in functional mobility is associated with loss of independence. This decline may be mitigated through programs of physical activity. Despite reports of aging-related mobility impairment in middle-aged adults, this age group has been largely overlooked in terms of exercise programs that target functional mobility and the preservation of independence in older age. A method to quantitatively assess changes in functional mobility could direct rehabilitation in a proactive rather than reactive manner. Thirty-three healthy but sedentary middle-aged adults participated in a four week low-volume, vigorous intensity stepping exercise program. Two baseline testing sessions and one post-training testing session were conducted. Functional mobility was assessed using the timed up and go (TUG) test, with its constituent sit-to-walk and walk-to-sit phases examined using a novel inertial sensor-based method. Additionally, semi-tandem balance and knee extensor muscle isometric torque were assessed. Trunk acceleration during walk-to-sit reduced significantly post-training, suggesting altered movement control due to the exercise program. No significant training-induced changes in sit-to-walk acceleration, TUG time, balance or torque were observed. The novel method of functional mobility assessment presented provides a reliable means to quantify subtle changes in mobility during postural transitions. Over time, this exercise program may improve functional mobility.
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Affiliation(s)
- Emer P Doheny
- Technology Research for Independent Living (TRIL) Centre, Dublin, Ireland.
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Schwenk M, Gogulla S, Englert S, Czempik A, Hauer K. Test-retest reliability and minimal detectable change of repeated sit-to-stand analysis using one body fixed sensor in geriatric patients. Physiol Meas 2012; 33:1931-46. [PMID: 23110800 DOI: 10.1088/0967-3334/33/11/1931] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
A majority of geriatric patients experience difficulty in performing sit-to-stand (SiSt) transitions. A detailed assessment of SiSt ability is a prerequisite for successful rehabilitation. Body fixed sensors (BFSs) are increasingly used to assess functional performances. As to date there is no system which analyzes clinically relevant phases of SiSt, the aim of this study was to determine the reliability of an automated approach for quantifying durations and angular velocities of trunk flexion and extension during repeated SiSt transitions using one BFS (DynaPort® Hybrid). Forty multimorbid geriatric patients aged 84.1 ± 6.6 years were included. Each patient participated in two test sessions with a 5 min rest period in between. Intra- and interrater reliability was assessed. Intraclass correlation coefficients (ICCs), absolute and relative standard measurement errors (SEMs, SEMs%) and minimal detectable changes (MDCs(95), MDCs(95)%) were calculated. ICCs were good to excellent for all variables in the total sample (0.80-0.94). The intraobserver group (50%) showed a higher number of excellent ICCs (≥.9) compared to the interobserver subgroup (10%). SEM% was low for all variables (6.9-12.7%). MDC(95)% ranged 19.2-34.4% and more variables ≤30% were found in the intra- (80%) compared to the inter-observer group (60%). Study results demonstrate that the BFS system provides a reliable analysis of SiSt phases in geriatric patients, and is a substantial improvement over the stopwatch approach used in clinical practice today.
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Affiliation(s)
- M Schwenk
- Department of Geriatric Research, AGAPLESION Bethanien-Hospital/Geriatric Center at the University of Heidelberg, Germany.
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34
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Doheny EP, Fan CW, Foran T, Greene BR, Cunningham C, Kenny RA. An instrumented sit-to-stand test used to examine differences between older fallers and non-fallers. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2012; 2011:3063-6. [PMID: 22254986 DOI: 10.1109/iembs.2011.6090837] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
An instrumented version of the five-times-sit-to-stand test was performed in the homes of a group of older adults, categorised as fallers or non-fallers. Tri-axial accelerometers were secured to the sternum and anterior thigh of each participant during the assessment. Accelerometer data were then used to examine the timing of the movement, as well as the root mean squared amplitude, jerk and spectral edge frequency of the mediolateral (ML) acceleration during the total assessment, each sit-stand-sit component and each postural transition (sit-stand and stand-sit). Differences between fallers and non-fallers were examined for each parameter. Six parameters significantly discriminated between fallers and non-fallers: sit-stand time, ML acceleration for the total assessment, and the ML spectral edge frequency for the complete assessment, individual sit-stand-sit components, as well as sit-stand and stand-sit transitions. These results suggest that each of these derived parameters would provide improved discrimination of fallers from non-fallers, for the cohort examined, than the standard clinical measure - the total time to complete the assessment. These results indicate that accelerometry may enhance the utility of the five-times-sit-to-stand test when assessing falls risk.
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Affiliation(s)
- Emer P Doheny
- TRIL centre and Health Research and Innovation, Intel Labs, Ireland.
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Ross E, Abejón D. Improving Patient Experience with Spinal Cord Stimulation: Implications of Position-Related Changes in Neurostimulation. Neuromodulation 2011; 17 Suppl 1:36-41. [DOI: 10.1111/j.1525-1403.2011.00407.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2011] [Revised: 06/27/2011] [Accepted: 09/14/2011] [Indexed: 11/30/2022]
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Weiss A, Herman T, Plotnik M, Brozgol M, Giladi N, Hausdorff JM. An instrumented timed up and go: the added value of an accelerometer for identifying fall risk in idiopathic fallers. Physiol Meas 2011; 32:2003-18. [PMID: 22094550 DOI: 10.1088/0967-3334/32/12/009] [Citation(s) in RCA: 117] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The Timed Up and Go (TUG) test is a widely used measure of mobility and fall risk among older adults that is typically scored using a stopwatch. We tested the hypothesis that a body-fixed accelerometer can enhance the ability of the TUG to identify community-living older adults with a relatively high fall risk of unknown origin. Twenty-three community-living elderly fallers (76.0 ± 3.9 years) and 18 healthy controls (68.3 ± 9.1 years) performed the TUG while wearing a 3D-accelerometer on the lower back. Acceleration-derived parameters included Sit-to-Stand and Stand-to-Sit times, amplitude range (Range), and slopes (Jerk). Average step duration, number of steps, average step length, gait speed, acceleration-median, and standard-deviation were also calculated. While the stopwatch-based TUG duration was not significantly different between the groups, acceleration-derived TUG duration was significantly higher (p = 0.007) among the fallers. Fallers generally exhibited lower Range and Jerk (p < 0.01). While TUG stopwatch duration successfully identified 63% of the subjects, an accelerometer-derived three-measure-combination correctly classified 87% of the subjects. Accelerometer-derived measures were generally not correlated with TUG duration. These findings demonstrate that fallers have difficulty with specific TUG aspects that can be quantified using an accelerometer. Without compromising simplicity of testing, an accelerometer can apparently be combined with TUG duration to provide complementary, objective measures that allow for a more complete, sensitive TUG-based fall risk assessment.
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Affiliation(s)
- A Weiss
- Laboratory for Gait and Neurodynamics, Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
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Vissers MM, Bussmann JBJ, de Groot IB, Verhaar JAN, Reijman M. Walking and chair rising performed in the daily life situation before and after total hip arthroplasty. Osteoarthritis Cartilage 2011; 19:1102-7. [PMID: 21723401 DOI: 10.1016/j.joca.2011.06.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2010] [Revised: 05/07/2011] [Accepted: 06/10/2011] [Indexed: 02/02/2023]
Abstract
OBJECTIVE An earlier study showed that 6 months after total hip arthroplasty (THA) patients' overall daily activity level had not increased, despite significant improvement in their perceived physical functioning. This discrepancy might be because postoperative recovery is not expressed by a more overall active lifestyle, but by the fact that patients could perform the individual activities of daily living (ADL) faster and/or for a longer period of time. The aim of this study was to assess whether patients perform ADL faster and/or for a longer period of time 6 months post-THA compared to baseline. Also examined was whether patients perform activities on the level of healthy matched controls. METHOD Thirty patients were measured at home with an accelerometry-based Activity Monitor, pre-operatively and 6 months post-THA. Patients were matched with healthy controls on gender and age (±2 years). RESULTS Compared with baseline, 6 months post-THA the stride frequency and body motility during walking of patients had increased [56.1 (54.3, 57.8)strides/min vs 52.1 (50.3, 54.1)strides/min; P-value<0.0001, and 0.265 (0.245, 0.286)g vs 0.219 (0.197, 0.240)g; P-value<0.0001], and they rose faster from a chair [2.6 (2.5, 2.8)s vs 3.0 (2.8, 3.2)s; P-value<0.0001]. Compared with controls, preoperative all patients had lower values for these parameters. Six months post-THA the stride frequency and body motility during walking were similar to that of controls, but patients rose slower from a chair than controls. CONCLUSION Six months post-THA patients walked faster and rose from a chair faster compared to baseline. Patients walked as fast as healthy controls but took longer rising from a chair.
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Affiliation(s)
- M M Vissers
- Department of Orthopaedics, Erasmus University Medical Centre, Rotterdam, The Netherlands.
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The loss of dexterity in the bilateral lower extremities in patients with stroke. J Appl Biomech 2011; 27:122-9. [PMID: 21576720 DOI: 10.1123/jab.27.2.122] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The aim of this study was to examine the dexterity of both lower extremities in patients with stroke. Twenty patients with stroke and 20 age-matched control subjects participated in this study. To determine the dexterity of the lower extremities, we examined the ability to control muscle force during submaximal contractions in the knee extensor muscles using a force tracking task. The root mean square errors were calculated from the difference between the target and response force. The root mean square error was significantly greater in the affected limb of patients with stroke compared with those of the unaffected limb and the control subjects, and in the unaffected limb compared with that of the control subjects. Furthermore, the root mean square error of the affected limb was related significantly to motor function as determined by Fugl-Myer assessment. These results demonstrate impairment of the dexterity of both the affected and the unaffected lower extremities in patients with stroke.
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Janssen W, Bussmann J, Selles R, Koudstaal P, Ribbers G, Stam H. Recovery of the Sit-to-Stand Movement After Stroke: A Longitudinal Cohort Study. Neurorehabil Neural Repair 2010; 24:763-9. [DOI: 10.1177/1545968310363584] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background and Objective . To present quantitative data on sit-to-stand (STS)-related functioning and recovery during the first year after stroke. STS-related functioning was used to evaluate independent STS movement, rising speed, and actual STS performance during normal daily life. Methods. This was a prospective cohort study of 50 patients poststroke. Assessments were made at 0, 3, 6, 9, 12, 24, and 48 weeks poststroke. Actual STS performance was assessed at 0, 12, and 48 weeks. The main outcome measures were the following: ability to rise independently, rising speed (power chair stand up), number of STS movements, percentage of time walking and standing during daily life (using an activity monitor), and clinical outcomes, measured among others by the Barthel index (BI). Results. During year 1, the percentage of patients able to rise increased from 54% to 83%. Most improvements occurred during weeks 0 to 12, whereas no significant changes were observed during weeks 12 to 24. Rising speed similarly increased from 0.15 to 0.26 s− 1 during weeks 0 to 12 and to 0.30 s−1 at week 48. Gait speed and BI also significantly increased. The number of STS movements increased significantly during weeks 0 to 12 (from 10.6 to 17.7) but not during weeks 12 to 48. Conclusions. STS-related functioning improved significantly in the first year after stroke, with the most improvement occurring during the first 12 weeks. After 12 weeks, rising speed, gait speed, and BI continue to improve.
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Affiliation(s)
| | | | | | | | - Gerard Ribbers
- Rijndam Rehabilitation Centre, Rotterdam, The Netherlands
| | - Henk Stam
- Erasmus MC, Rotterdam, The Netherlands
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Heinze F, Hesels K, Breitbach-Faller N, Schmitz-Rode T, Disselhorst-Klug C. Movement analysis by accelerometry of newborns and infants for the early detection of movement disorders due to infantile cerebral palsy. Med Biol Eng Comput 2010; 48:765-72. [DOI: 10.1007/s11517-010-0624-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2009] [Accepted: 04/21/2010] [Indexed: 10/19/2022]
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Monitoring of Physical Activity After Stroke: A Systematic Review of Accelerometry-Based Measures. Arch Phys Med Rehabil 2010; 91:288-97. [DOI: 10.1016/j.apmr.2009.10.025] [Citation(s) in RCA: 202] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2009] [Revised: 10/06/2009] [Accepted: 10/06/2009] [Indexed: 11/24/2022]
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Janssen WGM, Geler Kulcu D, Horemans HLD, Stam HJ, Bussmann JBJ. Sensitivity of Accelerometry to Assess Balance Control During Sit-to-Stand Movement. IEEE Trans Neural Syst Rehabil Eng 2008; 16:479-84. [DOI: 10.1109/tnsre.2008.2003386] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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