Title :
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
fDate :
28 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.744806
