DocumentCode :
2190198
Title :
A model for electrically activated mammalian muscle capturing N-let behaviours
Author :
Dorgan, Stephen J. ; Riener, Robert ; Malley, Mark J O ; De Paor, Annraoi M.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. Dublin, Ireland
Volume :
2
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
557
Abstract :
A mathematical model for electrically activated mammalian muscle is outlined. The presented model is developed by considering the underlying biophysics of the muscle contraction mechanism. This model accounts for the nonlinear effects seen in the use of high frequency stimulation patterns, specifically doublets and N-lets. Such stimulation patterns are used to improve fatigue resistance, and maximise the force-time integral per pulse of electrically stimulated muscles. A mechanism for N-let effects based upon known biophysical phenomena is implemented. Experimental and simulation results are presented and compared. This model may be useful in the design of control strategies for muscles using N-lets
Keywords :
Runge-Kutta methods; biocontrol; bioelectric phenomena; control nonlinearities; muscle; neurophysiology; patient treatment; physiological models; N-let behaviour; Runge-Kutta method; action potential; design of control strategies; doublets; electrically activated mammalian muscle; fatigue resistance; force generation; force-time integral per pulse; high frequency stimulation patterns; mathematical model; muscle contraction mechanism; nonlinear effects; second order overdamped system; skeletal muscle; step size control; Biomembranes; Calcium; Electric resistance; Fatigue; Frequency; Immune system; Mathematical model; Muscles; Neuromuscular; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.651862
Filename :
651862
Link To Document :
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