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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction

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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction

Vinit Kumar Gunjan, Bita Mokhlesabadifarahani

Springer
Collection: SpringerBriefs in Applied Sciences and Technology
Publication date : 2015-02-10

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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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About the book

Author

Vinit Kumar Gunjan , Bita Mokhlesabadifarahani

Imprint

Springer

Collection

SpringerBriefs in Applied Sciences and Technology

Publication date

2015-02-10

Pages

35 pages

Print ISBN

9789812873194

Language

English

Ebook informations

EAN EPUB

9789812873200

Price

£44.99

Copy count 0

Print count 3

File size 707 Ko

Informations accessibility

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About author(s)

Vinit Kumar Gunjan

Bita Mokhlesabadifarahani

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