Identification of Ankle Joint Stiffness from Short Segments of Data: Application to Passive Dynamics during Movement

被引：0
作者：
Jalaleddini, Kian [1 ]
Kearney, Robert E. [1 ]
机构：
[1] McGill Univ, Dept Biomed Engn, Montreal, PQ H3A 2B4, Canada
来源：
2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2014年
基金：
加拿大健康研究院;
关键词：
REFLEX CONTRIBUTIONS; SYSTEMS;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper presents a state-space (subspace) method for identification of parallel-cascade joint stiffness from short segments of data. It provides unbiased estimates of stiffness by accounting for the contributions of initial conditions of each segment. The method is important in situations where it is not possible to acquire a long stationary data due to switching or time-varying behavior. The power of the method was demonstrated by using it to efficiently characterize ankle joint stiffness through the joint's range of motion.
引用
收藏
页码：3284 / 3287
页数：4
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