Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes

被引:594
作者
Aminian, K [1 ]
Najafi, B
Büla, C
Leyvraz, PF
Robert, P
机构
[1] Swiss Fed Inst Technol, Metrol Lab, CH-1015 Lausanne, Switzerland
[2] CHUV & CUTR Sylvana, Serv Geriatr Med, Epalinges, Switzerland
[3] Hop Orthoped Suisse Romande, Lausanne, Switzerland
关键词
gait analysis; gyroscope; wavelet analysis; ambulatory system; stride velocity;
D O I
10.1016/S0021-9290(02)00008-8
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
In this study we describe an ambulatory system for estimation of spatio-temporal parameters during long periods of walking. This original method based on wavelet analysis is proposed to compute the values of temporal gait parameters from the angular velocity of lower limbs. Based on a mechanical model, the medio-lateral rotation of the lower limbs during stance and swing, the stride length and velocity are estimated by integration of the angular velocity. Measurement's accuracy was assessed using as a criterion standard the information provided by foot pressure sensors. To assess the accuracy of the method on a broad range of performance for each gait parameter, we gathered data from young and elderly subjects. No significant error was observed for toe-off detection, while a slight systematic delay (10 ms on average) existed between heelstrike obtained from gyroscopes and footswitch. There was no significant difference between actual spatial parameters (stride length and velocity) and their estimated values. Errors for velocity and stride length estimations were 0.06 m/s and 0.07 in, respectively. This system is light, portable, inexpensive and does not provoke any discomfort to Subjects. It can be carried for long periods of time, thus providing new longitudinal information such as stride-to-stride variability of gait. Several clinical applications can be proposed such as outcome evaluation after total knee or hip replacement, external prosthesis adjustment for amputees, monitoring of rehabilitation progress, gait analysis in neurological diseases, and fall risk estimation in elderly. (C) 2002 Published by Elsevier Science Ltd.
引用
收藏
页码:689 / 699
页数:11
相关论文
共 23 条
[1]  
AbuFaraj ZO, 1997, J REHABIL RES DEV, V34, P187
[2]  
AMINIAN K, 1995, MED SCI SPORT EXER, V27, P226
[3]   Temporal feature estimation during walking using miniature accelerometers: an analysis of gait improvement after hip arthroplasty [J].
Aminian, K ;
Rezakhanlou, K ;
De Andres, E ;
Fritsch, C ;
Leyvraz, PF ;
Robert, P .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1999, 37 (06) :686-691
[4]  
Czerniecki J.M., 1995, GAIT POSTURE, V4, P258
[5]   RECORDING ACCELERATIONS IN BODY MOVEMENTS [J].
EVANS, AL ;
DUNCAN, G ;
GILCHRIST, W .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1991, 29 (01) :102-104
[6]   GAIT ANALYSIS USING A MEASURING WALKWAY FOR TEMPORAL AND DISTANCE FACTORS [J].
HIROKAWA, S ;
MATSUMARA, K .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1987, 25 (05) :577-582
[7]   Algorithms to determine event timing during normal walking using kinematic data [J].
Hreljac, A ;
Marshall, RN .
JOURNAL OF BIOMECHANICS, 2000, 33 (06) :783-786
[8]   Discrete wavelet transform: a tool in smoothing kinematic data [J].
Ismail, AR ;
Asfour, SS .
JOURNAL OF BIOMECHANICS, 1999, 32 (03) :317-321
[9]   Gait changes in older adults: Predictors of falls or indicators of fear? [J].
Maki, BE .
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 1997, 45 (03) :313-320
[10]   A THEORY FOR MULTIRESOLUTION SIGNAL DECOMPOSITION - THE WAVELET REPRESENTATION [J].
MALLAT, SG .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11 (07) :674-693