DocumentCode :
2176851
Title :
Identification of adaptation in human postural control using GARCH models
Author :
Johansson, Rolf ; Fransson, Per A. ; Mågnusson, Mans
Author_Institution :
Dept. of Autom. Control, Lund Univ., Sweden
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
7
Abstract :
Human postural dynamics was investigated in twelve normal subjects by means of a force platform recording body sway induced by bipolar transmastoid galvanic stimulation of the vestibular nerve and labyrinth. We modeled the stabilizing forces actuated by the feet as resulting from complex muscular activity subject to feedback of body velocity and position. Time series analysis demonstrated that a transfer function from stimulus to sway-force response with specific parameters could be identified. In addition, adaptation to the vestibular stimulus was demonstrated to exist. Residual GARCH modeling (generalized autoregressive conditional heteroskedasticity) suggested a postural adaptation time constant in the range of 40-50 s. The results suggest means to evaluate adaptive behavior in postural control and in other physiological contexts
Keywords :
adaptive control; autoregressive processes; biocontrol; biomechanics; feedback; muscle; neurophysiology; physiological models; position control; time series; transfer functions; 40 to 50 s; GARCH models; adaptation identification; adaptive control; bipolar transmastoid galvanic stimulation; body sway; complex muscular activity; feedback; force platform; generalized autoregressive conditional heteroskedasticity; human postural control; labyrinth; stabilizing forces; time series analysis; transfer function; vestibular nerve; Automatic control; Biological system modeling; Feedback control; Force control; Force feedback; Galvanizing; Hospitals; Humans; Motion control; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
Type :
conf
DOI :
10.1109/.2001.980059
Filename :
980059
Link To Document :
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