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An introduction to the application of system identification techniques to elements of the neuromuscular system

Rosenberg, J.R., Murray-Smith, D.J., and Rigas, A. (1982) An introduction to the application of system identification techniques to elements of the neuromuscular system. Transactions of the Institute of Measurement and Control , 4 (4). pp. 187-201. ISSN 0142-3312 (doi:10.1177/014233128200400403)

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Abstract

A simplified account of the organisation of the neuromuscular system is presented. An important component of this system, the "muscle spindle", is a complex sensor that responds to imposed length changes and is thought to provide information which is important in the control of movement and in the maintenance of posture. The structure of the muscle spindle and its response to various inputs are described. The multi-input and multi-output nature and nonlinear behaviour of the muscle spindle are emphasised, both in terms of continuous and pulse-coded quantities. The methods of pre-processing of pulse-coded signals from nerves, and the identification techniques currently applied by neurophysiologists for the estimation of of the parameters of linearised models of the muscle spindle, are presented and assessed. New developments in the identification of point-process systems are shown to be applicable to some aspects of muscle-spindle behaviour. This approach, based upon point-process parameters, is applied to the analysis of the output signal of a muscle spindle under a variety of input conditions and to the estimation of a transfer function of the muscle spindle subjected to a point process input. A description of one non-linearity and the effects ofan additional input are also presented.

Item Type:Article
Keywords:System identification, neuromuscular system, muscle spindle, point process, multi-input multi-output system
Status:Published
Refereed:Yes
Glasgow Author(s):Murray-Smith, Prof David and Rosenberg, Prof Jay
Authors: Rosenberg, J.R., Murray-Smith, D.J., and Rigas, A.
Subjects:Q Science > QA Mathematics > QA76 Computer software
Q Science > QP Physiology
T Technology > TK Electrical engineering. Electronics Nuclear engineering
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Transactions of the Institute of Measurement and Control
Publisher:Sage
ISSN:0142-3312

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