Document Detail


A new method of simulating surface electromyograms using probability density functions.
MedLine Citation:
PMID:  18555985     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A new method based on probability density functions (inverse Gaussian distributions) to simulate surface electromyograms (sEMGs) was developed for the specific use of the 'T(P) technique', which discriminates sEMG activity patterns. First, four prototypes with different activity patterns were generated from inverse Gaussian distributions by changing their geometrical parameters, which were derived from actual recorded sEMGs. Then, four simulated sEMGs were produced on the basis of the prototypes. The validity of the simulation method in relation to the T(P) technique was statistically examined and verified. The new simulation method will be useful.
Authors:
I Ashida; S Kawakami; Y Miyaoka
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Publication Detail:
Type:  Journal Article     Date:  2008-06-16
Journal Detail:
Title:  Computers in biology and medicine     Volume:  38     ISSN:  0010-4825     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-06-27     Completed Date:  2008-09-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  837-44     Citation Subset:  IM    
Affiliation:
Department of Health and Nutrition, Niigata University of Health and Welfare, School of Health Sciences, 1398 Shimami-cho, Niigata 950-3198, Japan. asida@nuhw.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Adult
Electromyography*
Humans
Models, Theoretical
Probability*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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