A radial basis function model of muscle stimulated with irregular inter-pulse intervals

Donaldson, N.D., Gollee, H., Hunt, K.J., Jarvis, J.C. and Kwende, M.K.N. (1995) A radial basis function model of muscle stimulated with irregular inter-pulse intervals. Medical Engineering and Physics, 17(6), pp. 431-441. (doi: 10.1016/1350-4533(94)00013-Y)

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Publisher's URL: http://dx.doi.org/10.1016/1350-4533(94)00013-Y

Abstract

Paralysed muscle, or skeletal muscle which is to be used for cardiac assistance, may be given an artificial function if it is electrically stimulated to contract and the response can be adequately controlled. To design a controller, a model of the muscle or system is usually required. The most commonly used models are analogues, originating from A.V. Hill's model. However muscles exhibit many nonlinear and time-varying phenomena which, if they are to be modelled, make the analogue complex and cumbrous to work with. The system may further be complicated by pathological changes and secondary effects of stimulation. We propose that such a system can be modelled by nonlinear networks ('neural networks'). The radial basis function network (RBF) has two advantages over the better-known multi-layer perceptron (MLP). We describe the use of an RBF network to model rabbit muscle that is supramaximally stimulated at irregular interpulse intervals.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hunt, Prof Kenneth and Gollee, Dr Henrik
Authors: Donaldson, N.D., Gollee, H., Hunt, K.J., Jarvis, J.C., and Kwende, M.K.N.
Subjects:R Medicine > RC Internal medicine
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
College of Science and Engineering > School of Engineering > Biomedical Engineering
Journal Name:Medical Engineering and Physics
ISSN:1350-4533

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