EMG SIGNALS CHARACTERIZATION IN THREE STATES OF CONTRACTION BY FUZZY NETWORK AND FEATURE EXTRACTION by Bita Farahani, Vinit Kumar Gunjan ( 9789812873194 )

Item Details

Title:

EMG SIGNALS CHARACTERIZATION IN THREE STATES OF CONTRACTION BY FUZZY NETWORK AND FEATURE EXTRACTION

By:

Bita Farahani, Vinit Kumar Gunjan

Format:

Paperback

List price:

£44.99

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£39.37

Discount:

12.5% off

You save:

£5.62

ISBN 10:

9812873198

ISBN 13:

9789812873194

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Publisher:

SPRINGER VERLAG, SINGAPORE

Pub. date:

11 February, 2015

Series:

Springerbriefs in Applied Sciences and Technology / Forensic and Medical

Pages:

Synopsis:

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.

Illustrations:

4 black & white illustrations, 13 colour illustrations, biography

Publication:

Singapore

Imprint:

Springer Verlag, Singapore

Returns:

Returnable

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