Linked Life Data

8654322

Source:http://linkedlifedata.com/resource/pubmed/id/8654322

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1996-8-1
pubmed:abstractText
Our aim was to study whether the myoelectric signals can be better modelled as outputs of a nonlinear dynamic system rather than as random stochastic signals. Both the nonlinear predictability and the dimensionality of the signals were studied using methods of nonlinear dynamics. The signals were measured from the biceps brachii muscle during both fatiguing and non-fatiguing isometric contractions at low load levels. The myoelectric signals were found to be nonlinear and to have a structure statistically distinguishable from random noise. The correlation dimension describing the dimensionality of the myoelectric signal decreased during local muscular fatigue. The results support the use of the theory of nonlinear dynamics for the modelling of the myoelectric signals.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0301-150X
pubmed:author
pubmed:issnType
Print
pubmed:volume
36
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
49-58
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:articleTitle
Evidence of deterministic chaos in the myoelectric signal.
pubmed:affiliation
Technical Research Centre of Finland, Medical Engineering Laboratory, Tampere, Finland.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't