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Pareja-Cano Á, Arjona JM, Caulfield B, Cuesta-Vargas A. Parameterization of Biomechanical Variables through Inertial Measurement Units (IMUs) in Occasional Healthy Runners. SENSORS (BASEL, SWITZERLAND) 2024; 24:2191. [PMID: 38610402 PMCID: PMC11014260 DOI: 10.3390/s24072191] [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: 01/14/2024] [Revised: 03/20/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024]
Abstract
Running is one of the most popular sports practiced today and biomechanical variables are fundamental to understanding it. The main objectives of this study are to describe kinetic, kinematic, and spatiotemporal variables measured using four inertial measurement units (IMUs) in runners during treadmill running, investigate the relationships between these variables, and describe differences associated with different data sampling and averaging strategies. A total of 22 healthy recreational runners (M age = 28 ± 5.57 yrs) participated in treadmill measurements, running at their preferred speed (M = 10.1 ± 1.9 km/h) with a set-up of four IMUs placed on tibias and the lumbar area. Raw data was processed and analysed over selections spanning 30 s, 30 steps and 1 step. Very strong positive associations were obtained between the same family variables in all selections. The temporal variables were inversely associated with the step rate variable in the selection of 30 s and 30 steps of data. There were moderate associations between kinetic (forces) and kinematic (displacement) variables. There were no significant differences between the biomechanics variables in any selection. Our results suggest that a 4-IMU set-up, as presented in this study, is a viable approach for parameterization of the biomechanical variables in running, and also that there are no significant differences in the biomechanical variables studied independently, if we select data from 30 s, 30 steps or 1 step for processing and analysis. These results can assist in the methodological aspects of protocol design in future running research.
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Affiliation(s)
- Álvaro Pareja-Cano
- Grupo Clinimetría en Fisioterapia (CTS 631), Department of Physiotherapy, Faculty of Health Sciences, University of Málaga, 29071 Málaga, Spain; (Á.P.-C.); (J.M.A.)
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA Plataforma Bionand) Grupo Clinimetria (F-14), 29590 Málaga, Spain
| | - José María Arjona
- Grupo Clinimetría en Fisioterapia (CTS 631), Department of Physiotherapy, Faculty of Health Sciences, University of Málaga, 29071 Málaga, Spain; (Á.P.-C.); (J.M.A.)
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA Plataforma Bionand) Grupo Clinimetria (F-14), 29590 Málaga, Spain
- Faculty of Sciences and Technology, University Isabel I, 09003 Burgos, Spain
| | - Brian Caulfield
- School of Public Health, Physiotherapy and Sports, University College Dublin, D04 C1P1 Dublin, Ireland;
- Insight Centre, University College Dublin, D04 N2E5 Dublin, Ireland
| | - Antonio Cuesta-Vargas
- Grupo Clinimetría en Fisioterapia (CTS 631), Department of Physiotherapy, Faculty of Health Sciences, University of Málaga, 29071 Málaga, Spain; (Á.P.-C.); (J.M.A.)
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA Plataforma Bionand) Grupo Clinimetria (F-14), 29590 Málaga, Spain
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Horsley BJ, Tofari PJ, Halson SL, Kemp JG, Chalkley D, Cole MH, Johnston RD, Cormack SJ. Validity and Reliability of Thoracic-Mounted Inertial Measurement Units to Derive Gait Characteristics During Running. J Strength Cond Res 2024; 38:274-282. [PMID: 37884006 DOI: 10.1519/jsc.0000000000004612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
ABSTRACT Horsley, BJ, Tofari, PJ, Halson, SL, Kemp, JG, Chalkley, D, Cole, MH, Johnston, RD, and Cormack, SJ. Validity and reliability of thoracic-mounted inertial measurement units to derive gait characteristics during running. J Strength Cond Res 38(2): 274-282, 2024-Inertial measurement units (IMUs) attached to the tibia or lumbar spine can be used to analyze running gait but, with team-sports, are often contained in global navigation satellite system (GNSS) units worn on the thoracic spine. We assessed the validity and reliability of thoracic-mounted IMUs to derive gait characteristics, including peak vertical ground reaction force (vGRF peak ) and vertical stiffness (K vert ). Sixteen recreationally active subjects performed 40 m run throughs at 3-4, 5-6, and 7-8 m·s -1 . Inertial measurement units were attached to the tibia, lumbar, and thoracic spine, whereas 2 GNSS units were also worn on the thoracic spine. Initial contact (IC) from a validated algorithm was evaluated with F1 score and agreement (mean difference ± SD ) of gait data with the tibia and lumbar spine using nonparametric limits of agreement (LoA). Test-retest error {coefficient of variation, CV (95% confidence interval [CI])} established reliability. Thoracic IMUs detected a nearly perfect proportion (F1 ≥ 0.95) of IC events compared with tibia and lumbar sites. Step length had the strongest agreement (0 ± 0.04 m) at 3-4 m·s -1 , whereas contact time improved from 3 to 4 (-0.028 ± 0.018 second) to 7-8 m·s -1 (-0.004 ± 0.013 second). All values for K vert fell within the LoA at 7-8 m·s -1 . Test-retest error was ≤12.8% for all gait characteristics obtained from GNSS units, where K vert was most reliable at 3-4 m·s -1 (6.8% [5.2, 9.6]) and vGRF peak at 7-8 m·s -1 (3.7% [2.5, 5.2]). The thoracic-spine site is suitable to derive gait characteristics, including K vert , from IMUs within GNSS units, eliminating the need for additional sensors to analyze running gait.
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Affiliation(s)
- Benjamin J Horsley
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Paul J Tofari
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Shona L Halson
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Justin G Kemp
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Daniel Chalkley
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Michael H Cole
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
| | - Rich D Johnston
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
- Carnegie Applied Rugby Research (CARR) Centre, Leeds Beckett University, Leeds, United Kingdom
| | - Stuart J Cormack
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia; and
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Roșu D, Cojanu F, Vișan PF, Samarescu N, Ene MA, Muntean RI, Ursu VE. Structured Program for Developing the Psychomotor Skills of Institutionalized Children with Special Educational Needs. CHILDREN (BASEL, SWITZERLAND) 2024; 11:102. [PMID: 38255415 PMCID: PMC10814284 DOI: 10.3390/children11010102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/05/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024]
Abstract
Tailoring motor activities to the unique needs of children with special educational requirements has shown considerable efficacy. Our study aimed to develop a structured program specifically designed to enhance psychomotor abilities, focusing on balance and motor-cognitive skills among 28 students (aged 12-14) from two institutional centers in Romania. The program spanned 36 weeks, with biweekly 30 min sessions. Psychomotor skills were assessed through tests measuring balance, speed of movements, and upper limb motor laterality. Initial and final data were collected for evaluation. A statistical analysis, employing the Kolmogorov-Smirnov and Wilcoxon Z tests, compared the assessments. The results indicated significant improvements in movement speed, with a notable increase in stimulus identification (averaging from approximately 13 to 14) (p < 0.05) and reduced processing time (decreasing from about 28.7 to 28 s) (p < 0.05). However, while the structured program demonstrated substantial enhancements in specific motor and cognitive-motor skills, it did not yield significant changes in dynamic balance, maintaining values close to 0.9 (p > 0.05) for open-eyed balance and 0.88 (p > 0.05) for closed-eyed balance. Additionally, an analysis of the processing speed in pulses per second showcased a marginal decline, from approximately 0.46 to 0.45, revealing notable disparities between the initial and final measurements (p < 0.05).
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Affiliation(s)
- Daniel Roșu
- Department of Physical Education and Sport, Faculty of Sciences, Physical Education and Informatics, National University of Science and Technology Politehnica Bucharest, Pitesti University Center, 110040 Pitesti, Romania
| | - Florin Cojanu
- Department of Physical Education and Sport, Faculty of Sciences, Physical Education and Informatics, National University of Science and Technology Politehnica Bucharest, Pitesti University Center, 110040 Pitesti, Romania
| | - Paul-Florinel Vișan
- Department of Physical Education and Sport, Faculty of Sciences, Physical Education and Informatics, National University of Science and Technology Politehnica Bucharest, Pitesti University Center, 110040 Pitesti, Romania
| | - Nicoleta Samarescu
- Department of Educational Science, Faculty of Education, Social Sciences and Psychology, National University of Science and Technology Politehnica Bucharest, Pitesti University Center, 110040 Pitesti, Romania
| | - Mariana Augustina Ene
- Doctoral School Sports Science and Physical Education, National University of Science and Technology Politehnica Bucharest, Pitesti University Center, 110040 Pitesti, Romania
| | - Raul-Ioan Muntean
- Department of Physical Education and Sport, Faculty of Law and Social Sciences, University “1 Decembrie 1918” of Alba Iulia, 510009 Alba Iulia, Romania
| | - Vasile Emil Ursu
- Department of Physical Education and Sport, Faculty of Law and Social Sciences, University “1 Decembrie 1918” of Alba Iulia, 510009 Alba Iulia, Romania
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Mason R, Pearson LT, Barry G, Young F, Lennon O, Godfrey A, Stuart S. Wearables for Running Gait Analysis: A Systematic Review. Sports Med 2023; 53:241-268. [PMID: 36242762 PMCID: PMC9807497 DOI: 10.1007/s40279-022-01760-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/21/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Running gait assessment has traditionally been performed using subjective observation or expensive laboratory-based objective technologies, such as three-dimensional motion capture or force plates. However, recent developments in wearable devices allow for continuous monitoring and analysis of running mechanics in any environment. Objective measurement of running gait is an important (clinical) tool for injury assessment and provides measures that can be used to enhance performance. OBJECTIVES We aimed to systematically review the available literature investigating how wearable technology is being used for running gait analysis in adults. METHODS A systematic search of the literature was conducted in the following scientific databases: PubMed, Scopus, Web of Science and SPORTDiscus. Information was extracted from each included article regarding the type of study, participants, protocol, wearable device(s), main outcomes/measures, analysis and key findings. RESULTS A total of 131 articles were reviewed: 56 investigated the validity of wearable technology, 22 examined the reliability and 77 focused on applied use. Most studies used inertial measurement units (n = 62) [i.e. a combination of accelerometers, gyroscopes and magnetometers in a single unit] or solely accelerometers (n = 40), with one using gyroscopes alone and 31 using pressure sensors. On average, studies used one wearable device to examine running gait. Wearable locations were distributed among the shank, shoe and waist. The mean number of participants was 26 (± 27), with an average age of 28.3 (± 7.0) years. Most studies took place indoors (n = 93), using a treadmill (n = 62), with the main aims seeking to identify running gait outcomes or investigate the effects of injury, fatigue, intrinsic factors (e.g. age, sex, morphology) or footwear on running gait outcomes. Generally, wearables were found to be valid and reliable tools for assessing running gait compared to reference standards. CONCLUSIONS This comprehensive review highlighted that most studies that have examined running gait using wearable sensors have done so with young adult recreational runners, using one inertial measurement unit sensor, with participants running on a treadmill and reporting outcomes of ground contact time, stride length, stride frequency and tibial acceleration. Future studies are required to obtain consensus regarding terminology, protocols for testing validity and the reliability of devices and suitability of gait outcomes. CLINICAL TRIAL REGISTRATION CRD42021235527.
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Affiliation(s)
- Rachel Mason
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Liam T Pearson
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Gillian Barry
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Fraser Young
- Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK
| | | | - Alan Godfrey
- Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Samuel Stuart
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.
- Northumbria Healthcare NHS Foundation Trust, Newcastle upon Tyne, UK.
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Zeng Z, Liu Y, Hu X, Tang M, Wang L. Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis. SPORTS MEDICINE - OPEN 2022; 8:86. [PMID: 35759130 PMCID: PMC9237201 DOI: 10.1186/s40798-022-00477-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/11/2022] [Indexed: 11/13/2022]
Abstract
Background Inertial measurement units (IMUs) are useful in monitoring running and alerting running-related injuries in various sports settings. However, the quantitative summaries of the validity and reliability of the measurements from IMUs during running are still lacking. The purpose of this review was to investigate the concurrent validity and test–retest reliability of IMUs for measuring gait spatiotemporal outcomes and lower extremity kinematics of health adults during running. Methods PubMed, CINAHL, Embase, Scopus and Web of Science electronic databases were searched from inception until September 2021. The inclusion criteria were as follows: (1) evaluated the validity or reliability of measurements from IMUs, (2) measured specific kinematic outcomes, (3) compared measurements using IMUs with those obtained using reference systems, (4) collected data during running, (5) assessed human beings and (6) were published in English. Eligible articles were reviewed using a modified quality assessment. A meta-analysis was performed to assess the pooled correlation coefficients of validity and reliability. Results Twenty-five articles were included in the systematic review, and data from 12 were pooled for meta-analysis. The methodological quality of studies ranged from low to moderate. Concurrent validity is excellent for stride length (intraclass correlation coefficient (ICC) (95% confidence interval (CI)) = 0.937 (0.859, 0.972), p < 0.001), step frequency (ICC (95% CI) = 0.926 (0.896, 0.948), r (95% CI) = 0.989 (0.957, 0.997), p < 0.001) and ankle angle in the sagittal plane (r (95% CI) = 0.939 (0.544, 0.993), p = 0.002), moderate to excellent for stance time (ICC (95% CI) = 0.664 (0.354, 0.845), r (95% CI) = 0.811 (0.701, 0.881), p < 0.001) and good for running speed (ICC (95% CI) = 0.848 (0.523, 0.958), p = 0.0003). The summary Fisher's Z value of flight time was not statistically significant (p = 0.13). Similarly, the stance time showed excellent test–retest reliability (ICC (95% CI) = 0.954 (0.903, 0.978), p < 0.001) and step frequency showed good test–retest reliability (ICC (95% CI) = 0.896 (0.837, 0.933), p < 0.001). Conclusions Findings in the current review support IMUs measurement of running gait spatiotemporal parameters, but IMUs measurement of running kinematics on lower extremity joints needs to be reported with caution in healthy adults. Trial Registration: PROSPERO Registration Number: CRD42021279395. Supplementary Information The online version contains supplementary material available at 10.1186/s40798-022-00477-0.
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Patoz A, Lussiana T, Breine B, Gindre C, Malatesta D. A Multivariate Polynomial Regression to Reconstruct Ground Contact and Flight Times Based on a Sine Wave Model for Vertical Ground Reaction Force and Measured Effective Timings. Front Bioeng Biotechnol 2021; 9:687951. [PMID: 34805103 PMCID: PMC8599988 DOI: 10.3389/fbioe.2021.687951] [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: 03/30/2021] [Accepted: 09/29/2021] [Indexed: 11/13/2022] Open
Abstract
Effective contact (tce) and flight (tfe) times, instead of ground contact (tc) and flight (tf) times, are usually collected outside the laboratory using inertial sensors. Unfortunately, tce and tfe cannot be related to tc and tf because the exact shape of vertical ground reaction force is unknown. However, using a sine wave approximation for vertical force, tce and tc as well as tfe and tf could be related. Indeed, under this approximation, a transcendental equation was obtained and solved numerically over a tce x tfe grid. Then, a multivariate polynomial regression was applied to the numerical outcome. In order to reach a root-mean-square error of 0.5 ms, the final model was given by an eighth-order polynomial. As a direct application, this model was applied to experimentally measured tce values. Then, reconstructed tc (using the model) was compared to corresponding experimental ground truth. A systematic bias of 35 ms was depicted, demonstrating that ground truth tc values were larger than reconstructed ones. Nonetheless, error in the reconstruction of tc from tce was coming from the sine wave approximation, while the polynomial regression did not introduce further error. The presented model could be added to algorithms within sports watches to provide robust estimations of tc and tf in real time, which would allow coaches and practitioners to better evaluate running performance and to prevent running-related injuries.
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Affiliation(s)
- Aurélien Patoz
- Institute of Sport Sciences University of Lausanne, Lausanne, Switzerland.,Research and Development Department Volodalen Swiss Sport Lab, Aigle, Switzerland
| | - Thibault Lussiana
- Research and Development Department Volodalen Swiss Sport Lab, Aigle, Switzerland.,Research and Development Department Volodalen, Chavéria, France.,Research Unit EA3920 Prognostic Markers and Regulatory Factors of Cardiovascular Diseases and Exercise Performance Health Innovation Platform University of Franche-Comté, Besançon, France
| | - Bastiaan Breine
- Research and Development Department Volodalen Swiss Sport Lab, Aigle, Switzerland.,Department of Movement and Sports Sciences Ghent University, Ghent, Belgium
| | - Cyrille Gindre
- Research and Development Department Volodalen Swiss Sport Lab, Aigle, Switzerland.,Research and Development Department Volodalen, Chavéria, France
| | - Davide Malatesta
- Institute of Sport Sciences University of Lausanne, Lausanne, Switzerland
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Detection of Ground Contact Times with Inertial Sensors in Elite 100-m Sprints under Competitive Field Conditions. SENSORS 2021; 21:s21217331. [PMID: 34770638 PMCID: PMC8587724 DOI: 10.3390/s21217331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/27/2021] [Accepted: 10/30/2021] [Indexed: 12/14/2022]
Abstract
This study describes a method for extracting the stride parameter ground contact time (GCT) from inertial sensor signals in sprinting. Five elite athletes were equipped with inertial measurement units (IMU) on their ankles and performed 34 maximum 50 and 100-m sprints. The GCT of each step was estimated based on features of the recorded IMU signals. Additionally, a photo-electric measurement system covered a 50-m corridor of the track to generate ground truth data. This corridor was placed interchangeably at the first and the last 50-ms of the track. In total, 863 of 889 steps (97.08%) were detected correctly. On average, ground truth data were underestimated by 3.55 ms. The root mean square error of GCT was 7.97 ms. Error analyses showed that GCT at the beginning and the end of the sprint was classified with smaller errors. For single runs the visualization of step-by-step GCT was demonstrated as a new diagnostic instrument for sprint running. The results show the high potential of IMUs to provide the temporal parameter GCT for elite-level athletes.
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Blazey P, Michie TV, Napier C. A narrative review of running wearable measurement system accuracy and reliability: can we make running shoe prescription objective? FOOTWEAR SCIENCE 2021. [DOI: 10.1080/19424280.2021.1878287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Paul Blazey
- Centre for Hip Health and Mobility, University of British Columbia, Vancouver, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | | | - Christopher Napier
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada
- Schools of Mechatronic Systems Engineering and Engineering Science, Simon Fraser University, Burnaby,Canada
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Horsley BJ, Tofari PJ, Halson SL, Kemp JG, Dickson J, Maniar N, Cormack SJ. Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During Running: A Systematic Review and Meta-analysis. Sports Med 2021; 51:1449-1489. [PMID: 33761128 DOI: 10.1007/s40279-021-01443-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/26/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Inertial measurement units (IMUs) are used for running gait analysis in a variety of sports. These sensors have been attached at various locations to capture stride data. However, it is unclear if different placement sites affect the derived outcome measures. OBJECTIVE The aim of this systematic review and meta-analysis was to investigate the impact of placement on the validity and reliability of IMU-derived measures of running gait. METHODS Online databases SPORTDiscus with Full Text, CINAHL Complete, MEDLINE (EBSCOhost), EMBASE (Ovid) and Scopus were searched from the earliest record to 6 August 2020. Articles were included if they (1) used an IMU during running (2) reported spatiotemporal variables, peak ground reaction force (GRF) or vertical stiffness and (3) assessed validity or reliability. Meta-analyses were performed for a pooled validity estimate when (1) studies reported means and standard deviation for variables derived from the IMU and criterion (2) used the same IMU placement and (3) determined validity at a comparable running velocity (≤ 1 m·s-1 difference). RESULTS Thirty-nine articles were included, where placement varied between the foot, tibia, hip, sacrum, lumbar spine (LS), torso and thoracic spine (TS). Initial contact, toe-off, contact time (CT), flight time (FT), step time, stride time, swing time, step frequency (SF), step length (SL), stride length, peak vertical and resultant GRF and vertical stiffness were analysed. Four variables (CT, FT, SF and SL) were meta-analysed, where CT was compared between the foot, tibia and LS placements and SF was compared between foot and LS. Foot placement data were meta-analysed for FT and SL. All data are the mean difference (MD [95%CI]). No significant difference was observed for any site compared to the criterion for CT (foot: - 11.47 ms [- 45.68, 22.74], p = 0.43; tibia: 22.34 ms [- 18.59, 63.27], p = 0.18; LS: - 48.74 ms [- 120.33, 22.85], p = 0.12), FT (foot: 11.93 ms [- 8.88, 32.74], p = 0.13), SF (foot: 0.45 step·min-1 [- 1.75, 2.66], p = 0.47; LS: - 3.45 step·min-1 [- 16.28, 9.39], p = 0.37) and SL (foot: 0.21 cm [- 1.76, 2.18], p = 0.69). Reliable derivations of CT (coefficient of variation [CV] < 9.9%), FT (CV < 11.6%) and SF (CV < 4.4%) were shown using foot- and LS-worn IMUs, while the CV was < 7.8% for foot-determined stride time, SL and stride length. Vertical GRF was reliable from the LS (CV = 4.2%) and TS (CV = 3.3%) using a spring-mass model, while vertical stiffness was moderately (r = 0.66) and nearly perfectly (r = 0.98) correlated with criterion measures from the TS. CONCLUSION Placement of IMUs on the foot, tibia and LS is suitable to derive valid and reliable stride data, suggesting measurement site may not be a critical factor. However, evidence regarding the ability to accurately detect stride events from the TS is unclear and this warrants further investigation.
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Affiliation(s)
- Benjamin J Horsley
- School of Behavioural and Health Sciences, Australian Catholic University, 115 Victoria Parade, Fitzroy, Melbourne, 3065, Australia.
| | - Paul J Tofari
- School of Behavioural and Health Sciences, Australian Catholic University, 115 Victoria Parade, Fitzroy, Melbourne, 3065, Australia
| | - Shona L Halson
- School of Behavioural and Health Sciences, Australian Catholic University, 115 Victoria Parade, Fitzroy, Melbourne, 3065, Australia.,Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
| | - Justin G Kemp
- School of Behavioural and Health Sciences, Australian Catholic University, 115 Victoria Parade, Fitzroy, Melbourne, 3065, Australia
| | - Jessica Dickson
- Library and Academic Research Services, Australian Catholic University, Melbourne, Australia
| | - Nirav Maniar
- School of Behavioural and Health Sciences, Australian Catholic University, 115 Victoria Parade, Fitzroy, Melbourne, 3065, Australia
| | - Stuart J Cormack
- School of Behavioural and Health Sciences, Australian Catholic University, 115 Victoria Parade, Fitzroy, Melbourne, 3065, Australia.,Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia
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10
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Xiang Y, Sun B, Wang Z, Taher F. Long-distance running training system based on inertial sensor network. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-189832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Long-distance running is an advantage of Chinese sports, but compared with the world level, there is still a big gap. Therefore, an advanced long-distance running training system is urgently needed to scientifically train our long-distance runners to change this situation. The purpose of this article is to study the long-distance running training system under inertial sensor network. According to the actual situation at home and abroad, a human gait analysis system based on inertial sensors is designed. Gait parameters are transformed into clinical medicine through related algorithms and software platforms. Experimental results show that although the step length calculated by the gait analysis system is different from the actual step length, the error value is small, kept below 3 cm, and the error percentage is less than 2%, which meets the accuracy requirements of gait analysis. This fully proves the feasibility of the zero-speed correction method in gait analysis.
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Affiliation(s)
- Yingjiao Xiang
- Ministry of Physical Education, Hunan Institude of Technology, Hengyang, Hunan, China
| | - Baishun Sun
- Ministry of Physical Education, Hunan Institude of Technology, Hengyang, Hunan, China
| | - Zhiqin Wang
- Ministry of Physical Education, Hunan Institude of Technology, Hengyang, Hunan, China
| | - Fatma Taher
- Zayed University, Dubai, United Arab Emirates
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11
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Falbriard M, Mohr M, Aminian K. Hurdle Clearance Detection and Spatiotemporal Analysis in 400 Meters Hurdles Races Using Shoe-Mounted Magnetic and Inertial Sensors. SENSORS 2020; 20:s20020354. [PMID: 31936395 PMCID: PMC7013538 DOI: 10.3390/s20020354] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 12/20/2019] [Accepted: 01/04/2020] [Indexed: 11/16/2022]
Abstract
This research aimed to determine whether: (1) shoe-worn magnetic and inertial sensors can be used to detect hurdle clearance and identify the leading leg in 400-m hurdles, and (2) to provide an analysis of the hurdlers' spatiotemporal parameters in the intervals defined by the hurdles' position. The data set is composed of MIMU recordings of 15 athletes in a competitive environment. The results show that the method based on the duration of the flight phase was able to detect hurdle clearance and identify the leading leg with 100% accuracy. Moreover, by combining the swing phase duration with the orientation of the foot, we achieved, in unipedal configuration, 100% accuracy in hurdle clearance detection, and 99.7% accuracy in the identification of the leading leg. Finally, this study provides statistical evidence that contact time significantly increases, while speed and step frequency significantly decrease with time during 400 m hurdle races.
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Affiliation(s)
- Mathieu Falbriard
- Laboratory of Movement Analysis and Measurement, EPFL, 1015 Lausanne, Switzerland
- Correspondence:
| | - Maurice Mohr
- Institute of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria; (M.M.); (K.A.)
| | - Kamiar Aminian
- Institute of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria; (M.M.); (K.A.)
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Hanley B, Tucker CB. Reliability of the OptoJump Next System for Measuring Temporal Values in Elite Racewalking. J Strength Cond Res 2019; 33:3438-3443. [DOI: 10.1519/jsc.0000000000003008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Macadam P, Cronin J, Neville J, Diewald S. Quantification of the validity and reliability of sprint performance metrics computed using inertial sensors: A systematic review. Gait Posture 2019; 73:26-38. [PMID: 31299501 DOI: 10.1016/j.gaitpost.2019.07.123] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 05/22/2019] [Accepted: 07/01/2019] [Indexed: 02/02/2023]
Abstract
BACKGROUND Wearable inertial sensors enable sprinting to be biomechanically evaluated in a simple and time efficient manner outside of a laboratory setting. RESEARCH QUESTION Are wearable inertial sensors a valid and reliable method for collecting and measuring sprint performance variables compared to referenced systems? METHODS PubMed, SPORTDiscus, and Web of Science were searched using the Boolean phrases: ((run* OR sprinting OR sprint*) AND (IMU OR inertial sensor OR wearable sensor OR accelerometer OR gyroscope) AND (valid* OR reliabil*)). Articles with injury-free subjects of any age, sex or activity level were included. RESULTS Fifteen studies met the inclusion criteria and were retained for analysis. In summary, higher Intra-class correlation [ICC] or Pearson correlation coefficients (r) were observed for contact time (ICC ≥ 0.80, r ≥ 0.99), trunk angular displacement (r ≥ 0.99), vertical and horizontal force (ICC ≥ 0.88), and theoretical measures of force, velocity and power (r ≥ 0.81). Low coefficient of variation (CV) were found in peak velocity (≤ 1%), average velocity (≤ 3%), and contact time (≤ 3%,). Average and peak velocity, and resultant forces, were found to have a wide range of r (0.32-0.92) and CVs (0.78-20.2%). The lowest r (-0.24 to 0.49) and highest CVs (15-22.4%) were noted for average acceleration, crania-caudal force, instantaneous forces, medio-lateral ground reaction forces, and rate of decrease in ratio of forces. SIGNIFICANCE Due to a wide range of methodological differences, a clear understanding of the validity and reliability of different inertial sensors for the analysis of sprinting has yet to be established. Future research into the sensor's placement, attachment method and sampling frequency are among several factors that need further investigation.
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Affiliation(s)
- Paul Macadam
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.
| | - John Cronin
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
| | - Jono Neville
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
| | - Shelley Diewald
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
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Stride and Step Length Obtained with Inertial Measurement Units during Maximal Sprint Acceleration. Sports (Basel) 2019; 7:sports7090202. [PMID: 31480457 PMCID: PMC6784208 DOI: 10.3390/sports7090202] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 08/27/2019] [Accepted: 08/29/2019] [Indexed: 11/24/2022] Open
Abstract
During sprint acceleration, step length, step rate, ground contact, and airtime are key variables for coaches to guide the training process and technical development of their athletes. In the field, three of these variables are easily obtained with inertial measurement units (IMUs), but, unfortunately, valid estimates of step length with IMUs currently are limited to low speeds (<50% max). A simple method is proposed here to derive step length during maximal sprint acceleration, using IMUs on both feet and two timing gates only. Mono-exponential velocity-time functions are fitted to the 30-m (split) and 60-m times, which in combination with IMU-derived step durations yield estimates of step length. To validate this approach, sixteen well-trained athletes with IMUs on the insteps of both feet executed two 60-m maximal sprints, starting from a three-point position. As a reference, step lengths were determined from video data. The reference step lengths combined with IMU-derived step durations yielded a time series of step velocity that confirmed the appropriateness of a mono-exponential increase of step velocity (R2 ≥ 0.96). The comparison of estimated step lengths to reference measurements showed no significant difference (p > 0.05) and acceptable agreement (root mean square error, RMSE = 8.0 cm, bias ± Limits of Agreement = −0.15 ± 16 cm). Step length estimations further improved (RMSE = 5.7 cm, −0.16 ± 11 cm) after smoothing the original estimated step lengths with a third order polynomial function (R2 = 0.94 ± 0.04). In conclusion, during maximal sprint acceleration, acceptable estimates of stride and step length were obtained from IMU-derived step times and 30-m (split) and 60-m sprint times.
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Cassirame J, Sanchez H, Exell TA, Panoutsakopoulos V, Theodorou AS, Homo S, Frère J. Differences in approach run kinematics: successful vs. unsuccessful jumps in the pole vault. INT J PERF ANAL SPOR 2019. [DOI: 10.1080/24748668.2019.1657655] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- J. Cassirame
- EA 4660 “Sport Culture et société” & Exercise, Performance, Health, Innovation Platform, Bourgogne Franche-Comté University, Besancon, France
- EA 7507, Laboratoire Performance, Santé, Métrologie, Société, Reims, France
| | - H. Sanchez
- FIR Division, FFA – Athlétics French Federation, Paris, France
| | - T. A Exell
- School of Sport, Health and Exercise Science, University of Portsmouth, Portsmouth, UK
| | - V. Panoutsakopoulos
- Biomechanics Laboratory, Department of Physical Education and Sports Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A. S. Theodorou
- School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece
| | - S. Homo
- FIR Division, FFA – Athlétics French Federation, Paris, France
| | - J. Frère
- Faculty of Sports Sciences, Faculty of Medicine, Laboratory «Développement, Adaptation et Handicap», Université de Lorraine, Villers-lès-Nancy, France
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Falbriard M, Meyer F, Mariani B, Millet GP, Aminian K. Accurate Estimation of Running Temporal Parameters Using Foot-Worn Inertial Sensors. Front Physiol 2018; 9:610. [PMID: 29946263 PMCID: PMC6005819 DOI: 10.3389/fphys.2018.00610] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 05/04/2018] [Indexed: 11/13/2022] Open
Abstract
The aim of this study was to assess the performance of different kinematic features measured by foot-worn inertial sensors for detecting running gait temporal events (e.g., initial contact, terminal contact) in order to estimate inner-stride phases duration (e.g., contact time, flight time, swing time, step time). Forty-one healthy adults ran multiple trials on an instrumented treadmill while wearing one inertial measurement unit on the dorsum of each foot. Different algorithms for the detection of initial contact and terminal contact were proposed, evaluated and compared with a reference-threshold on the vertical ground reaction force. The minimum of the pitch angular velocity within the first and second half of a mid-swing to mid-swing cycle were identified as the most precise features for initial and terminal contact detection with an inter-trial median ± IQR precision of 2 ± 1 ms and 4 ± 2 ms respectively. Using these initial and terminal contact features, this study showed that the ground contact time, flight time, step and swing time can be estimated with an inter-trial median ± IQR bias less than 12 ± 10 ms and the a precision less than 4 ± 3 ms. Finally, this study showed that the running speed can significantly affect the biases of the estimations, suggesting that a speed-dependent correction should be applied to improve the system's accuracy.
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Affiliation(s)
- Mathieu Falbriard
- Laboratory of Movement Analysis and Measurement, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Frédéric Meyer
- Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
| | | | - Grégoire P. Millet
- Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
| | - Kamiar Aminian
- Laboratory of Movement Analysis and Measurement, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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Brackley V, Ball K, Tor E. The validation of a swimming turn wall-contact-time measurement system: a touchpad application reliability study. Sports Biomech 2018; 18:595-607. [PMID: 29754533 DOI: 10.1080/14763141.2018.1452969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
The effectiveness of the swimming turn is highly influential to overall performance in competitive swimming. The push-off or wall contact, within the turn phase, is directly involved in determining the speed the swimmer leaves the wall. Therefore, it is paramount to develop reliable methods to measure the wall-contact-time during the turn phase for training and research purposes. The aim of this study was to determine the concurrent validity and reliability of the Pool Pad App to measure wall-contact-time during the freestyle and backstroke tumble turn. The wall-contact-times of nine elite and sub-elite participants were recorded during their regular training sessions. Concurrent validity statistics included the standardised typical error estimate, linear analysis and effect sizes while the intraclass correlating coefficient (ICC) was used for the reliability statistics. The standardised typical error estimate resulted in a moderate Cohen's d effect size with an R2 value of 0.80 and the ICC between the Pool Pad and 2D video footage was 0.89. Despite these measurement differences, the results from this concurrent validity and reliability analyses demonstrated that the Pool Pad is suitable for measuring wall-contact-time during the freestyle and backstroke tumble turn within a training environment.
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Affiliation(s)
- Victoria Brackley
- College of Sport and Exercise Science, Institute of Health and Sport, Victoria University , Melbourne , Australia
| | - Kevin Ball
- College of Sport and Exercise Science, Institute of Health and Sport, Victoria University , Melbourne , Australia
| | - Elaine Tor
- College of Sport and Exercise Science, Institute of Health and Sport, Victoria University , Melbourne , Australia
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Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review. SENSORS 2018; 18:s18030873. [PMID: 29543747 PMCID: PMC5877384 DOI: 10.3390/s18030873] [Citation(s) in RCA: 215] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 03/09/2018] [Accepted: 03/11/2018] [Indexed: 01/19/2023]
Abstract
Recent technological developments have led to the production of inexpensive, non-invasive, miniature magneto-inertial sensors, ideal for obtaining sport performance measures during training or competition. This systematic review evaluates current evidence and the future potential of their use in sport performance evaluation. Articles published in English (April 2017) were searched in Web-of-Science, Scopus, Pubmed, and Sport-Discus databases. A keyword search of titles, abstracts and keywords which included studies using accelerometers, gyroscopes and/or magnetometers to analyse sport motor-tasks performed by athletes (excluding risk of injury, physical activity, and energy expenditure) resulted in 2040 papers. Papers and reference list screening led to the selection of 286 studies and 23 reviews. Information on sport, motor-tasks, participants, device characteristics, sensor position and fixing, experimental setting and performance indicators was extracted. The selected papers dealt with motor capacity assessment (51 papers), technique analysis (163), activity classification (19), and physical demands assessment (61). Focus was placed mainly on elite and sub-elite athletes (59%) performing their sport in-field during training (62%) and competition (7%). Measuring movement outdoors created opportunities in winter sports (8%), water sports (16%), team sports (25%), and other outdoor activities (27%). Indications on the reliability of sensor-based performance indicators are provided, together with critical considerations and future trends.
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The Use of an Optical Measurement System to Monitor Sports Performance. Sports (Basel) 2018; 6:sports6010015. [PMID: 29910319 PMCID: PMC5969055 DOI: 10.3390/sports6010015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 02/12/2018] [Accepted: 02/13/2018] [Indexed: 11/21/2022] Open
Abstract
The purpose of this study was to compare ground contact time between an optical measurement system and a force platform. Participants in this study included six collegiate level athletes who performed drop jumps and sprint strike steps for a total of 15 repetitions each. Ground contact data was simultaneously collected from an optical measurement system and a force platform, at a sampling frequency of 1000 Hz. Data was then analyzed with Pearson’s correlation and paired sample t-tests. The measures from the optical measurement system were found to be significantly higher (p < 0.001) than measures from the force platform in both conditions. Although significantly different, the extremely large relationships (0.979, 0.993) found between the two devices suggest the optical sensor is able to detect similar changes in performance to that of a force platform. Practitioners may continue to utilize optical sensors to monitor performance as it may provide a superior user-friendly alternative to more traditional based monitoring procedures, but must comprehend the inherent limitations due to the design of the optical sensors.
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Positive Effects of Augmented Feedback to Reduce Time on Ground in Well-Trained Runners. Int J Sports Physiol Perform 2018; 13:88-94. [PMID: 28459350 DOI: 10.1123/ijspp.2016-0746] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
CONTEXT Successful elite sprint to long-distance runners are known to have shorter ground-contact time (GCT) than their less successful counterparts. PURPOSE To investigate whether augmented feedback (aF) about GCT can reduce the time on ground (TOG) per minute in long-distance runners and, if so, whether this reduction improves running performance. METHODS Thirty well-trained runners were allocated to 3 groups. The intervention group (IG) received visual aF about their GCT during 8 high-intensity interval sessions in the 4-wk training period and were instructed to minimize GCT. The 1st control group (CG1) trained with the IG but was not given any feedback. The 2nd control group (CG2) followed their own training routine. Data were obtained pre- and postintervention for all 3 groups. The dependent variable was TOG per minute, computed from step frequency and GCT. RESULTS The IG significantly reduced TOG (P = .043, -1.7%, 90%CL -3.1;-0.3) and improved their mean 10 × 400-m performance time (P < .001, -1.5%, 90%CL -1.9;-1.1). In contrast, the 2 control groups revealed unchanged values, indicating that normal high-intensity training and an individualized routine without aF were not able to reduce TOG. The fact that CG1 received the same instructions and participated in the same training sessions as the IG underlined that aF was crucial to reduce TOG. CONCLUSIONS The provision of aF about GCT seems to be a promising approach that should be considered during training practice of well-trained runners.
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Abstract
The purpose of this investigation was to analyze the validity of an iPhone application (Runmatic) for measuring running mechanics. To do this, 96 steps from 12 different runs at speeds ranging from 2.77–5.55 m·s−1 were recorded simultaneously with Runmatic, as well as with an opto-electronic device installed on a motorized treadmill to measure the contact and aerial time of each step. Additionally, several running mechanics variables were calculated using the contact and aerial times measured, and previously validated equations. Several statistics were computed to test the validity and reliability of Runmatic in comparison with the opto-electronic device for the measurement of contact time, aerial time, vertical oscillation, leg stiffness, maximum relative force, and step frequency. The running mechanics values obtained with both the app and the opto-electronic device showed a high degree of correlation (r = .94–.99, p < .001). Moreover, there was very close agreement between instruments as revealed by the ICC (2,1) (ICC = 0.965–0.991). Finally, both Runmatic and the opto-electronic device showed almost identical reliability levels when measuring each set of 8 steps for every run recorded. In conclusion, Runmatic has been proven to be a highly reliable tool for measuring the running mechanics studied in this work.
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