Universität zu Köln

Bluemel, Marcus, Guschlbauer, Christoph, Hooper, Scott L. and Bueschges, Ansgar (2012). Using individual-muscle specific instead of across-muscle mean data halves muscle simulation error. Biol. Cybern., 106 (10). S. 573 - 586. NEW YORK: SPRINGER. ISSN 0340-1200

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Abstract

Hill-type parameter values measured in experiments on single muscles show large across-muscle variation. Using individual-muscle specific values instead of the more standard approach of across-muscle means might therefore improve muscle model performance. We show here that using mean values increased simulation normalized RMS error in all tested motor nerve stimulation paradigms in both isotonic and isometric conditions, doubling mean simulation error from 9 to 18 (different at p < 0.0001). These data suggest muscle-specific measurement of Hill-type model parameters is necessary in work requiring highly accurate muscle model construction. Maximum muscle force (F (max)) showed large (fourfold) across-muscle variation. To test the role of F (max) in model performance we compared the errors of models using mean F (max) and muscle-specific values for the other model parameters, and models using muscle-specific F (max) values and mean values for the other model parameters. Using muscle-specific F (max) values did not improve model performance compared to using mean values for all parameters, but using muscle-specific values for all parameters but F (max) did (to an error of 14, different from muscle-specific, mean all parameters, and mean only F (max) errors at p a parts per thousand currency sign 0.014). Significantly improving model performance thus required muscle-specific values for at least a subset of parameters other than F (max), and best performance required muscle-specific values for this subset and F (max). Detailed consideration of model performance suggested that remaining model error likely stemmed from activation of both fast and slow motor neurons in our experiments and inadequate specification of model activation dynamics.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Bluemel, Marcus UNSPECIFIED UNSPECIFIED UNSPECIFIED Guschlbauer, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Hooper, Scott L. UNSPECIFIED UNSPECIFIED UNSPECIFIED Bueschges, Ansgar UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-479715
DOI:	10.1007/s00422-011-0460-8
Journal or Publication Title:	Biol. Cybern.
Volume:	106
Number:	10
Page Range:	S. 573 - 586
Date:	2012
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	0340-1200
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MYOCYBERNETIC CONTROL MODEL; SKELETAL-MUSCLE; INSECT WALKING; MOVEMENTS Multiple languages Computer Science, Cybernetics; Neurosciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/47971