Quantification of sensory information in human balance control

Author

van der Kooij, Herman ; Koopman, Bart ; Jacobs, Ron ; Mergner, Thomas ; Grootenboer, Henk

Author_Institution

Inst. of Biomed. Technol., Twente Univ., Enschede, Netherlands

Volume

5

fYear

1998

fDate

28 Oct-1 Nov 1998

Firstpage

2393

Abstract

A human balance control model is developed, which includes the different sensory systems as well as neural time delays. The model is based on optimal control theory. Platform perturbation experiments were done to quantify the precision of the different sensory systems by matching model predictions with experimental results. The precision of the sensors was quantified by the variances of sensor noise. The noise to signal ratios for the muscle spindles are 3-7% and for vision 11-14%. For the vestibular organs unambiguous noise to signal ratios could not be found. To find the noise to signal ratios of the vestibular organs the method of identification of sensory information has to be modified

Keywords

biocontrol; biomechanics; mechanoception; neurophysiology; optimal control; physiological models; experimental results; human balance control; model predictions; muscle spindles; neural time delays; optimal control theory; platform perturbation experiments; sensory information identification; sensory information quantification; unambiguous noise to signal ratios; vestibular organs; Band pass filters; Biological system modeling; Delay effects; Eyes; Humans; Leg; Low pass filters; Optimal control; Predictive models; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.744806

Filename

744806