Document Detail


Dynamic electromyography. II. Normal patterns during gait.
MedLine Citation:
PMID:  2303959     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Human gait is a complex phenomenon. Many descriptors are needed to completely describe gait in terms of the biomechanics involved. The descriptors, when expressed as a function of the gait cycle, are complex waveforms. For each of these variables, a single "normal" pattern with bands of deviation has generally been accepted as a reference in clinical/research use to explain the abnormalities in a patient's walking pattern. In fact, one observes many "normal" patterns, and a body of research has been devoted to explaining the differences between these patterns in terms of walking speed, age, cadence, sex, etc. It would be simpler in one sense to start with the fact that different people walk with different patterns, not one pattern with bands of deviation. Numerical representation of the waveforms simplifies the analysis and interpretation of waveform data and facilitates comparison between subjects or groups of subjects. When combined with pattern recognition techniques, it also is useful for identifying subpatterns within a group. In this article, the numerical representation of electromyographic data by Karhunen-Loeve expansion are combined with cluster analysis to obtain patterns of dynamic phasic activity of 10 muscles of the lower extremity. From the 35 normal subjects walking at self-selected speed, two to four patterns are developed for each of the muscles and the physiological significance of the patterns are discussed.
Authors:
M E Wootten; M P Kadaba; G V Cochran
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of orthopaedic research : official publication of the Orthopaedic Research Society     Volume:  8     ISSN:  0736-0266     ISO Abbreviation:  J. Orthop. Res.     Publication Date:  1990 Mar 
Date Detail:
Created Date:  1990-03-16     Completed Date:  1990-03-16     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  8404726     Medline TA:  J Orthop Res     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  259-65     Citation Subset:  IM    
Affiliation:
Orthopaedic Engineering and Research Center, Helen Hayes Hospital, West Haverstraw, N.Y. 10993.
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MeSH Terms
Descriptor/Qualifier:
Electromyography / methods*
Gait / physiology*
Humans
Mathematics
Muscles / physiology
Numerical Analysis, Computer-Assisted

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