The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review

被引:185
作者
Benson, Lauren C. [1 ]
Clermont, Christian A. [1 ]
Bosnjak, Eva [1 ]
Ferber, Reed [1 ,2 ,3 ]
机构
[1] Univ Calgary, Fac Kinesiol, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
[2] Univ Calgary, Fac Nursing, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
[3] Running Injury Clin, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Wearable devices; Gait; Walking; Running; EVENT DETECTION; FALL RISK; VARIABILITY;
D O I
10.1016/j.gaitpost.2018.04.047
中图分类号
Q189 [神经科学];
学科分类号
071006 [神经生物学];
摘要
Background: Quantitative gait analysis is essential for evaluating walking and running patterns for markers of pathology, injury, or other gait characteristics. It is expected that the portability, affordability, and applicability of wearable devices to many different populations will have contributed advancements in understanding the real-world gait patterns of walkers and runners. Therefore, the purpose of this systematic review was to identify how wearable devices are being used for gait analysis in out-of-lab settings. Methods: A systematic search was conducted in the following scientific databases: PubMed, Medline, CINAHL, EMBASE, and SportDiscus. Each of the included articles was assessed using a custom quality assessment. Information was extracted from each included article regarding the participants, protocol, sensor(s), and analysis. Results: A total of 61 articles were reviewed: 47 involved gait analysis during walking, 13 involved gait analysis during running, and one involved both walking and running. Most studies performed adequately on measures of reporting, and external and internal validity, but did not provide a sufficient description of power. Small, unobtrusive wearable devices have been used in retrospective studies, producing unique measures of gait quality. Walking, but not running, studies have begun to use wearable devices for gait analysis among large numbers of participants in their natural environment. Conclusions: Despite the advantages provided by the portability and accessibility of wearable devices, more studies monitoring gait over long periods of time, among large numbers of participants, and in natural walking and running environments are needed to analyze real-world gait patterns, and would facilitate prospective, subject-specific, and subgroup investigations. The development of wearables-specific metrics for gait analysis provide insights regarding the quality of gait that cannot be determined using traditional components of in-lab gait analyses. However, guidelines for the usability of wearable devices and the validity of wearables-based measurements of gait quality need to be established.
引用
收藏
页码:124 / 138
页数:15
相关论文
共 91 条
[1]
Wearable Sensors in Huntington Disease: A Pilot Study [J].
Andrzejewski, Kelly L. ;
Dowling, Ariel V. ;
Stamler, David ;
Felong, Timothy J. ;
Harris, Denzil A. ;
Wong, Cynthia ;
Cai, Hang ;
Reilmann, Ralf ;
Little, Max A. ;
Gwin, Joseph T. ;
Biglan, Kevin M. ;
Dorsey, E. Ray .
JOURNAL OF HUNTINGTONS DISEASE, 2016, 5 (02) :199-206
[2]
Effects of treadmill running and fatigue on impact acceleration in distance running [J].
Antonio Garcia-Perez, Jose ;
Perez-Soriano, Pedro ;
Llana Belloch, Salvador ;
Gabriel Lucas-Cuevas, Angel ;
Sanchez-Zuriaga, Daniel .
SPORTS BIOMECHANICS, 2014, 13 (03) :259-266
[3]
Barden J. M., 2016, FRONT HUM NEUROSCI, P10
[4]
Peak Impact Accelerations During Track and Treadmill Running [J].
Bigelow, Erin M. R. ;
Elvin, Niell G. ;
Elvin, Alex A. ;
Arnoczky, Steven P. .
JOURNAL OF APPLIED BIOMECHANICS, 2013, 29 (05) :639-644
[5]
Billat V., 2006, J SPORTS MED PHYS FI, P462
[6]
Brodie M.A., 2016, PHYSIOL MEAS, V381, P45
[7]
Comparison between clinical gait and daily-life gait assessments of fall risk in older people [J].
Brodie, Matthew A. ;
Coppens, Milou J. ;
Ejupi, Andreas ;
Gschwind, Yves J. ;
Annegarn, Janneke ;
Schoene, Daniel ;
Wieching, Rainer ;
Lord, Stephen R. ;
Delbaere, Kim .
GERIATRICS & GERONTOLOGY INTERNATIONAL, 2017, 17 (11) :2274-2282
[8]
Eight-Week Remote Monitoring Using a Freely Worn Device Reveals Unstable Gait Patterns in Older Fallers [J].
Brodie, Matthew A. ;
Lord, Stephen R. ;
Coppens, Milou J. ;
Annegarn, Janneke ;
Delbaere, Kim .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2015, 62 (11) :2588-2594
[9]
Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different [J].
Brodie, Matthew A. D. ;
Coppens, Milou J. M. ;
Lord, Stephen R. ;
Lovell, Nigel H. ;
Gschwind, Yves J. ;
Redmond, Stephen J. ;
Del Rosario, Michael Benjamin ;
Wang, Kejia ;
Sturnieks, Daina L. ;
Persiani, Michela ;
Delbaere, Kim .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2016, 54 (04) :663-674
[10]
A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms [J].
Caldas, Rafael ;
Mundt, Marion ;
Potthast, Wolfgang ;
de Lima Neto, Fernando Buarque ;
Markert, Bernd .
GAIT & POSTURE, 2017, 57 :204-210