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EMG signals characterization in three states of contraction by fuzzy network and feature extraction

Neuro-muscular and musculoskeletal disorders and injuries highly affect the life style and the motion abilities of an individual. This brief highlights a systematic method for detection of the level of muscle power declining in musculoskeletal and Neuro-muscular disorders. The neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and modeling purposes. The neuro-fuzzy classifier is validated in comparison to some other well-known classifiers in classification of the recorded EMG signals with the three states of contractions corresponding to the extracted features. Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used

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Detail Information
Series Title
-
Call Number
006.3
Publisher
Singapore : Springer.,
Collation
xv, 35 pages
Language
English
ISBN/ISSN
xv, 35 pages
Classification
006.3
Content Type
-
Media Type
-
Carrier Type
online resource
Edition
-
Subject(s)
Fuzzy systems
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
Kurnadi
Source
-
Validator
-
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No other version available

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