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