Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

被引:268
|
作者
Chen, Shanshan [1 ,2 ]
Lach, John [3 ]
Lo, Benny [4 ]
Yang, Guang-Zhong [4 ]
机构
[1] Virginia Commonwealth Univ, Dept Biostat, Med Coll Virginia Campus, Richmond, VA 23298 USA
[2] Virginia Commonwealth Univ, Dept Internal Med, Med Coll Virginia Campus, Richmond, VA 23298 USA
[3] Univ Virginia, Dept Elect & Comp Engn, Charlottesville, VA 22903 USA
[4] Imperial Coll London, Hamlyn Ctr, London SW7 2AZ, England
基金
美国国家科学基金会; 英国工程与自然科学研究理事会;
关键词
Free-living gait analysis gait analysis; inertial sensors; insole pressure sensors; medical applications; quantitative gait analysis; wearable sensors; WALKING SPEED ESTIMATION; PARKINSONS-DISEASE; DECISION-MAKING; KNEE OSTEOARTHRITIS; MULTIPLE-SCLEROSIS; LYAPUNOV EXPONENTS; CEREBRAL-PALSY; FALL RISK; STABILITY; VARIABILITY;
D O I
10.1109/JBHI.2016.2608720
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
After decades of evolution, measuring instruments for quantitative gait analysis have become an important clinical tool for assessing pathologies manifested by gait abnormalities. However, such instruments tend to be expensive and require expert operation and maintenance besides their high cost, thus limiting them to only a small number of specialized centers. Consequently, gait analysis in most clinics today still relies on observation-based assessment. Recent advances in wearable sensors, especially inertial body sensors, have opened up a promising future for gait analysis. Not only can these sensors be more easily adopted in clinical diagnosis and treatment procedures than their current counterparts, but they can also monitor gait continuously outside clinics - hence providing seamless patient analysis from clinics to free-living environments. The purpose of this paper is to provide a systematic review of current techniques for quantitative gait analysis and to propose key metrics for evaluating both existing and emerging methods for qualifying the gait features extracted from wearable sensors. It aims to highlight key advances in this rapidly evolving research field and outline potential future directions for both research and clinical applications.
引用
收藏
页码:1521 / 1537
页数:17
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