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Suau Q, Bianchini E, Bellier A, Chardon M, Milane T, Hansen C, Vuillerme N. Current Knowledge about ActiGraph GT9X Link Activity Monitor Accuracy and Validity in Measuring Steps and Energy Expenditure: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2024; 24:825. [PMID: 38339541 PMCID: PMC10857518 DOI: 10.3390/s24030825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024]
Abstract
Over recent decades, wearable inertial sensors have become popular means to quantify physical activity and mobility. However, research assessing measurement accuracy and precision is required, especially before using device-based measures as outcomes in trials. The GT9X Link is a recent activity monitor available from ActiGraph, recognized as a "gold standard" and previously used as a criterion measure to assess the validity of various consumer-based activity monitors. However, the validity of the ActiGraph GT9X Link is not fully elucidated. A systematic review was undertaken to synthesize the current evidence for the criterion validity of the ActiGraph GT9X Link in measuring steps and energy expenditure. This review followed the PRISMA guidelines and eight studies were included with a combined sample size of 558 participants. We found that (1) the ActiGraph GT9X Link generally underestimates steps; (2) the validity and accuracy of the device in measuring steps seem to be influenced by gait speed, device placement, filtering process, and monitoring conditions; and (3) there is a lack of evidence regarding the accuracy of step counting in free-living conditions and regarding energy expenditure estimation. Given the limited number of included studies and their heterogeneity, the present review emphasizes the need for further validation studies of the ActiGraph GT9X Link in various populations and in both controlled and free-living settings.
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Affiliation(s)
- Quentin Suau
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France; (Q.S.); (A.B.); (M.C.); (T.M.); (C.H.)
| | - Edoardo Bianchini
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France; (Q.S.); (A.B.); (M.C.); (T.M.); (C.H.)
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, 00189 Rome, Italy
| | - Alexandre Bellier
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France; (Q.S.); (A.B.); (M.C.); (T.M.); (C.H.)
- CHU Grenoble Alpes, Université Grenoble Alpes, Inserm CIC 1406, 38000 Grenoble, France
| | - Matthias Chardon
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France; (Q.S.); (A.B.); (M.C.); (T.M.); (C.H.)
- UNESP Human Movement Research Laboratory (MOVI-LAB), Department of Physical Education, Bauru Sao Paulo State University, Bauru 17033-360, SP, Brazil
| | - Tracy Milane
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France; (Q.S.); (A.B.); (M.C.); (T.M.); (C.H.)
| | - Clint Hansen
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France; (Q.S.); (A.B.); (M.C.); (T.M.); (C.H.)
- Department of Neurology, Kiel University, 24105 Kiel, Germany
| | - Nicolas Vuillerme
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France; (Q.S.); (A.B.); (M.C.); (T.M.); (C.H.)
- LabCom Telecom4Health, Orange Labs & Université Grenoble Alpes, CNRS, Inria, Grenoble INP-UGA, 38000 Grenoble, France
- Institut Universitaire de France, 75005 Paris, France
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DeBrosse AC, Li Y, Wiseman R, Ross R, Garrison S, Hallock HL, Barrow JC, Martinowich K, Carr GV. Degrading stimuli by reducing image resolution impairs performance in a rodent continuous performance test. Behav Processes 2023; 212:104941. [PMID: 37673291 PMCID: PMC10591849 DOI: 10.1016/j.beproc.2023.104941] [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: 04/18/2023] [Revised: 07/03/2023] [Accepted: 09/01/2023] [Indexed: 09/08/2023]
Abstract
Attention is a cognitive domain often disrupted in neuropsychiatric disorders and continuous performance tests (CPTs) are common clinical assays of attention. In CPTs, participants produce a behavioral response to target stimuli and refrain from responding to non-target stimuli. Performance in CPTs is measured as the ability to discriminate between targets and non-targets. Rodent versions of CPTs (rCPTs) have been validated with both anatomical and pharmacological studies, providing a translational platform for understanding attention function. In humans, stimulus degradation, the inclusion of visual noise in the image to reduce resolution, in CPTs impairs performance. Reduced image contrast, changes in the relative luminescence of elements in the image, has been used in rCPTs to test similar constructs, but, to our knowledge, reduced image resolution has not been tested in an rCPT. In this study, we tested multiple levels of stimulus degradation in a touchscreen version of the rCPT in mice. We found that stimulus degradation significantly decreased performance in males and females. Specifically, we found decreased stimulus discrimination and increases in hit reaction time and reaction time variability. These findings are in line with the effects of stimulus degradation in human studies. These data extend the utility and translational value of the family of rCPTs by demonstrating that stimulus degradation in the form of reduced image resolution produces qualitatively similar behavioral responses in mice as those in previous human studies.
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Affiliation(s)
- Adrienne C DeBrosse
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - Ye Li
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - Robyn Wiseman
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Racine Ross
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA; Kenyon College, Gambier, OH, USA
| | - Sy'Keria Garrison
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA; Fayetteville State University, Fayetteville, NC, USA
| | - Henry L Hallock
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - James C Barrow
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA; Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Keri Martinowich
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences and Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gregory V Carr
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA; Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Park W, Lee J, Lee H, Hong G, Park HY, Park J. Analysis of physiological tremors during different intensities of armcurl exercises using wearable three-axis accelerometers in healthy young men: a pilot study. Phys Act Nutr 2022; 26:32-40. [PMID: 36775649 PMCID: PMC9925111 DOI: 10.20463/pan.2022.0022] [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: 11/03/2022] [Accepted: 12/02/2022] [Indexed: 02/05/2023] Open
Abstract
PURPOSE The purpose of this pilot study was to determine whether physiological tremors (PTs) assessed using an accelerometer could be used to evaluate resistance exercise intensity. METHODS Twenty healthy young men with no prior experience of resistance exercise were recruited. Different intensities (resting, 30%, 50%, and 70% of their predetermined one-repetition maximum (1-RM)) of arm-curl exercise were used to elicit PT. The total work was held equally by varying the number of repetitions, with five sets for each intensity. Sessions of varying intensities were performed randomly with a washout period of at least a week. PT responses were recorded during exercise using accelerometers (3-axis) attached to the wrist and ear. Electromyography (EMG) data were obtained from the biceps brachii muscle during exercise. PT and EMG data were expressed as the average root mean square index. RESULTS The EMG amplitude increased significantly as exercise intensity increased. Furthermore, PT amplitude significantly increased as exercise intensity increased. Moreover, the Borg rating of perceived exertion (RPE) and lactic acid levels increased significantly. The wrist PT was related to ear PT, EMG, RPE, and lactic acid levels. Additionally, ear PT was associated with EMG, RPE, and lactic acid levels. CONCLUSION This pilot study identified changes in PT during resistance exercise at different intensities. We suggest that the use of PT analyses during these exercises provides a more intuitive delineation of resistance exercise intensity and fatigue.
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Affiliation(s)
- Wonil Park
- Department of Physical Education, Korea University, Seoul, Republic of Korea
| | - Jaesung Lee
- Department of Physical Education, Korea University, Seoul, Republic of Korea
| | - Hyunseob Lee
- Department of Physical Education, Korea University, Seoul, Republic of Korea
| | - Gyuseog Hong
- Convergence Center, LG Electronics, Seoul, Republic of Korea
| | - Hun-Young Park
- Physical Activity and Performance Institute (PAPI), Konkuk University, Seoul, Republic of Korea,Department of Sports Medicine and Science, Graduate School, Konkuk University, Seoul, Republic of Korea
| | - Jonghoon Park
- Department of Physical Education, Korea University, Seoul, Republic of Korea,Corresponding author : Jonghoon Park, Ph.D. Department of Physical Education, Korea University, 145 Anam-Ro, Seongbuk-Gu, 02841, Seoul, Republic of Korea Tel: +82-01-8520-9714 E-mail:
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Martín-Martín J, Wang L, De-Torres I, Escriche-Escuder A, González-Sánchez M, Muro-Culebras A, Roldán-Jiménez C, Ruiz-Muñoz M, Mayoral-Cleries F, Biró A, Tang W, Nikolova B, Salvatore A, Cuesta-Vargas AI. The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors. SENSORS (BASEL, SWITZERLAND) 2022; 22:2552. [PMID: 35408167 PMCID: PMC9002639 DOI: 10.3390/s22072552] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/08/2022] [Accepted: 03/24/2022] [Indexed: 06/14/2023]
Abstract
Through this study, we developed and validated a system for energy expenditure calculation, which only requires low-cost inertial sensors and open source R software. Five healthy subjects ran at ten different speeds while their kinematic variables were recorded on the thigh and wrist. Two ActiGraph wireless inertial sensors and a low-cost Bluetooth-based inertial sensor (Lis2DH12), assembled by SensorID, were used. Ten energy expenditure equations were automatically calculated in a developed open source R software (our own creation). A correlation analysis was used to compare the results of the energy expenditure equations. A high interclass correlation coefficient of estimated energy expenditure on the thigh and wrist was observed with an Actigraph and Sensor ID accelerometer; the corrected Freedson equation showed the highest values, and the Santos-Lozano vector magnitude equation and Sasaki equation demonstrated the lowest one. Energy expenditure was compared between the wrist and thigh and showed low correlation values. Despite the positive results obtained, it was necessary to design specific equations for the estimation of energy expenditure measured with inertial sensors on the thigh. The use of the same formula equation in two different placements did not report a positive interclass correlation coefficient.
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Affiliation(s)
- Jaime Martín-Martín
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Legal and Forensic Medicine Area, Department of Human Anatomy, Legal Medicine and History of Science, Faculty of Medicine, University of Málaga, 29071 Málaga, Spain
| | - Li Wang
- Faculty of Media and Communication, Bournemouth University, Bournemouth BH12 5BB, UK;
| | - Irene De-Torres
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Physical Medicine and Rehabilitation Unit, Regional Universitary Hospital of Málaga, 29010 Málaga, Spain
| | - Adrian Escriche-Escuder
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Department of Physiotherapy, University of Málaga, 29071 Málaga, Spain
| | - Manuel González-Sánchez
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Department of Physiotherapy, University of Málaga, 29071 Málaga, Spain
| | - Antonio Muro-Culebras
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Department of Physiotherapy, University of Málaga, 29071 Málaga, Spain
| | - Cristina Roldán-Jiménez
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Department of Physiotherapy, University of Málaga, 29071 Málaga, Spain
| | - María Ruiz-Muñoz
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Department of Nursing and Podiatry, University of Málaga, 29071 Málaga, Spain
| | - Fermín Mayoral-Cleries
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Mental Health Unit, Regional Universitary Hospital of Málaga, 29010 Málaga, Spain
| | | | - Wen Tang
- Faculty of Science and Technology, Bournemouth University, Bournemouth BH12 5BB, UK;
| | - Borjanka Nikolova
- Arthaus, Production Trade and Service Company Arthaus Doo Import-Export Skopje, 1000 Skopje, North Macedonia;
| | | | - Antonio I. Cuesta-Vargas
- Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain; (J.M.-M.); (I.D.-T.); (A.E.-E.); (M.G.-S.); (A.M.-C.); (C.R.-J.); (M.R.-M.); (F.M.-C.)
- Department of Physiotherapy, University of Málaga, 29071 Málaga, Spain
- School of Clinical Science, Faculty of Health Science, Queensland University Technology, Brisbane 400, Australia
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Liu F, Wanigatunga AA, Schrack JA. Assessment of Physical Activity in Adults using Wrist Accelerometers. Epidemiol Rev 2021; 43:65-93. [PMID: 34215874 DOI: 10.1093/epirev/mxab004] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 05/14/2021] [Accepted: 06/21/2021] [Indexed: 11/12/2022] Open
Abstract
The health benefits of physical activity have been widely recognized, yet traditional measures of physical activity including questionnaires and category-based assessments of volume and intensity provide only broad estimates of daily activities. Accelerometers have advanced epidemiologic research on physical activity by providing objective and continuous measurement of physical activity in free-living conditions. Wrist-worn accelerometers have become especially popular due to low participant burden. However, the validity and reliability of wrist-worn devices for adults have yet to be summarized. Moreover, accelerometer data provide rich information on how physical activity is accumulated throughout the day, but only a small portion of these rich data have been utilized by researchers. Lastly, new methodological developments that aim to overcome some of the limitations of accelerometers are emerging. The purpose of this review is to provide an overview of accelerometry research, with a special focus on wrist-worn accelerometers. We describe briefly how accelerometers work, summarize the validity and reliability of wrist-worn accelerometers, discuss the benefits of accelerometers including measuring light-intensity physical activity, and discuss pattern metrics of daily physical activity recently introduced in the literature. A summary of large-scale cohort studies and randomized trials that implemented wrist-worn accelerometry is provided. We conclude the review by discussing new developments and future directions of research using accelerometers, with a focus on wrist-worn accelerometers.
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Affiliation(s)
- Fangyu Liu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States.,Center on Aging and Health, Johns Hopkins University, Baltimore, Maryland, United States
| | - Amal A Wanigatunga
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States.,Center on Aging and Health, Johns Hopkins University, Baltimore, Maryland, United States
| | - Jennifer A Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States.,Center on Aging and Health, Johns Hopkins University, Baltimore, Maryland, United States
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Kwon S, Wan N, Burns RD, Brusseau TA, Kim Y, Kumar S, Ertin E, Wetter DW, Lam CY, Wen M, Byun W. The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings. SENSORS 2021; 21:s21041411. [PMID: 33670507 PMCID: PMC7922785 DOI: 10.3390/s21041411] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 02/05/2021] [Accepted: 02/10/2021] [Indexed: 12/12/2022]
Abstract
MotionSense HRV is a wrist-worn accelerometery-based sensor that is paired with a smartphone and is thus capable of measuring the intensity, duration, and frequency of physical activity (PA). However, little information is available on the validity of the MotionSense HRV. Therefore, the purpose of this study was to assess the concurrent validity of the MotionSense HRV in estimating sedentary behavior (SED) and PA. A total of 20 healthy adults (age: 32.5 ± 15.1 years) wore the MotionSense HRV and ActiGraph GT9X accelerometer (GT9X) on their non-dominant wrist for seven consecutive days during free-living conditions. Raw acceleration data from the devices were summarized into average time (min/day) spent in SED and moderate-to-vigorous PA (MVPA). Additionally, using the Cosemed K5 indirect calorimetry system (K5) as a criterion measure, the validity of the MotionSense HRV was examined in simulated free-living conditions. Pearson correlations, mean absolute percent errors (MAPE), Bland–Altman (BA) plots, and equivalence tests were used to examine the validity of the MotionSense HRV against criterion measures. The correlations between the MotionSense HRV and GT9X were high and the MAPE were low for both the SED (r = 0.99, MAPE = 2.4%) and MVPA (r = 0.97, MAPE = 9.1%) estimates under free-living conditions. BA plots illustrated that there was no systematic bias between the MotionSense HRV and criterion measures. The estimates of SED and MVPA from the MotionSense HRV were significantly equivalent to those from the GT9X; the equivalence zones were set at 16.5% for SED and 29% for MVPA. The estimates of SED and PA from the MotionSense HRV were less comparable when compared with those from the K5. The MotionSense HRV yielded comparable estimates for SED and PA when compared with the GT9X accelerometer under free-living conditions. We confirmed the promising application of the MotionSense HRV for monitoring PA patterns for practical and research purposes.
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Affiliation(s)
- Sunku Kwon
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USA; (S.K.); (R.D.B.); (T.A.B.)
| | - Neng Wan
- Department of Geography, University of Utah, Salt Lake City, UT 84112, USA;
| | - Ryan D. Burns
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USA; (S.K.); (R.D.B.); (T.A.B.)
| | - Timothy A. Brusseau
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USA; (S.K.); (R.D.B.); (T.A.B.)
| | - Youngwon Kim
- School of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong;
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, UK
| | - Santosh Kumar
- Department of Computer Science, University of Memphis, Memphis, TN 38152, USA;
| | - Emre Ertin
- Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA;
| | - David W. Wetter
- Department of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84132, USA; (D.W.W.); (C.Y.L.)
| | - Cho Y. Lam
- Department of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84132, USA; (D.W.W.); (C.Y.L.)
| | - Ming Wen
- Department of Sociology, University of Utah, Salt Lake City, UT 84112, USA;
| | - Wonwoo Byun
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USA; (S.K.); (R.D.B.); (T.A.B.)
- Correspondence: ; Tel.: +1-801-585-1119
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Chang CH, Hsu YJ, Li F, Tu YT, Jhang WL, Hsu CW, Huang CC, Ho CS. Reliability and validity of the physical activity monitor for assessing energy expenditures in sedentary, regularly exercising, non-endurance athlete, and endurance athlete adults. PeerJ 2020; 8:e9717. [PMID: 32904158 PMCID: PMC7450994 DOI: 10.7717/peerj.9717] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/23/2020] [Indexed: 12/24/2022] Open
Abstract
Background Inertial sensors, such as accelerometers, serve as convenient devices to predict the energy expenditures (EEs) during physical activities by a predictive equation. Although the accuracy of estimate EEs especially matter to athletes receive physical training, most EE predictive equations adopted in accelerometers are based on the general population, not athletes. This study included the heart rate reserve (HRR) as a compensatory parameter for physical intensity and derived new equations customized for sedentary, regularly exercising, non-endurance athlete, and endurance athlete adults. Methods With indirect calorimetry as the criterion measure (CM), the EEs of participants on a treadmill were measured, and vector magnitudes (VM), as well as HRR, were simultaneously recorded by a waist-worn accelerometer with a heart rate monitor. Participants comprised a sedentary group (SG), an exercise-habit group (EHG), a non-endurance group (NEG), and an endurance group (EG), with 30 adults in each group. Results EE predictive equations were revised using linear regression with cross-validation on VM, HRR, and body mass (BM). The modified model demonstrates valid and reliable predictions across four populations (Pearson correlation coefficient, r: 0.922 to 0.932; intraclass correlation coefficient, ICC: 0.919 to 0.930). Conclusion Using accelerometers with a heart rate monitorcan accurately predict EEs of athletes and non-athletes with an optimized predictive equation integrating the VM, HRR, and BM parameters.
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Affiliation(s)
- Chun-Hao Chang
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Yi-Ju Hsu
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Fang Li
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Yu-Tsai Tu
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan.,Department of Physical Medicine and Rehabilitation, Taipei City Hospital, Zhongxiao Branch, Taipei, Taiwan
| | - Wei-Lun Jhang
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Chih-Wen Hsu
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Chi-Chang Huang
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Chin-Shan Ho
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
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Feasibility of the Energy Expenditure Prediction for Athletes and Non-Athletes from Ankle-Mounted Accelerometer and Heart Rate Monitor. Sci Rep 2020; 10:8816. [PMID: 32483254 PMCID: PMC7264312 DOI: 10.1038/s41598-020-65713-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 05/07/2020] [Indexed: 01/29/2023] Open
Abstract
Due to the nature of micro-electromechanical systems, the vector magnitude (VM) activity of accelerometers varies depending on the wearing position and does not identify different levels of physical fitness. Without an appropriate energy expenditure (EE) estimation equation, bias can occur in the estimated values. We aimed to amend the EE estimation equation using heart rate reserve (HRR) parameters as the correction factor, which could be applied to athletes and non-athletes who primarily use ankle-mounted devices. Indirect calorimetry was used as the criterion measure with an accelerometer (ankle-mounted) equipped with a heart rate monitor to synchronously measure the EE of 120 healthy adults on a treadmill in four groups. Compared with ankle-mounted accelerometer outputs, when the traditional equation was modified using linear regression by combining VM with body weight and/or HRR parameters (modified models: Model A, without HRR; Model B, with HRR), both Model A (r: 0.931 to 0.972; ICC: 0.913 to 0.954) and Model B (r: 0.933 to 0.975; ICC: 0.930 to 0.959) showed the valid and reliable predictive ability for the four groups. With respect to the simplest and most reasonable mode, Model A seems to be a good choice for predicting EE when using an ankle-mounted device.
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