DocumentCode :
336475
Title :
Nonparametric identification of human arm dynamics
Author :
Perreault, Eric J. ; Kirsch, Robert F. ; Acosta, Ana Maria
Author_Institution :
Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
Volume :
4
fYear :
1997
fDate :
30 Oct-2 Nov 1997
Firstpage :
1835
Abstract :
Understanding the dynamic response of the human arm to external perturbations is critical for understanding the neural and mechanical factors contributing to postural arm stability and for predicting stability during interactions with the external environment. One means of describing arm dynamics is by estimating the dynamic endpoint stiffness (DES). This paper introduces an efficient nonparametric approach for estimating DES, and uses this technique to characterize changes in DES under different endpoint loading conditions
Keywords :
MIMO systems; biomechanics; dynamic response; frequency-domain analysis; identification; mechanical stability; neuromuscular stimulation; physiological models; MIMO linear system; dynamic endpoint stiffness; dynamic response; external perturbations; human arm dynamics; interactions with external environment; mechanical factors; multiple coherence functions; neural factors; neuromuscular stimulation; nonparametric identification; postural arm stability; stability prediction; Coherence; Force measurement; Frequency estimation; Humans; Manipulator dynamics; Mechanical factors; Power generation; Stability; Stochastic systems; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-4262-3
Type :
conf
DOI :
10.1109/IEMBS.1997.757088
Filename :
757088
Link To Document :
بازگشت