Linked Life Data

17281688

Source:http://linkedlifedata.com/resource/pubmed/id/17281688

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-2-6
pubmed:abstractText
We present a model structure and a method for identifying the dynamics of electrically stimulated muscle. The model structure is sufficiently rich to describe a wide set of muscle behavior. It consists of (i) an input static nonlinearity representing the muscle's recruitment properties, (ii) a linear dynamical system representing the contraction dynamics, (iii) an output static nonlinearity representing generalized force- length and force-velocity relationships, and (iv) prefilters for the mechanical input that capture impedance and history dependence properties of the muscle. It is assumed that each of the subsystems is linearly parameterized. We present parameter estimation methods, and verify via simulation successful convergence of the estimates to their true values with small variances.
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
6225-8
pubmed:year
2005
pubmed:articleTitle
A method for identification of electrically stimulated muscle.
pubmed:affiliation
Mechanical Engineering Department, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. wfarahat@mit.edu.
pubmed:publicationType
Journal Article