EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Paperback, 2015 ed.)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Forensic and Medical Bioinformatics
Release date:	February 2015
First published:	2015
Authors:	Bita Mokhlesabadifarahani • Vinit Kumar Gunjan
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	35
Edition:	2015 ed.
ISBN-13:	978-981-287-319-4
Categories:	Books > Medicine > Clinical & internal medicine > Musculoskeletal medicine Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
LSN:	981-287-319-8
Barcode:	9789812873194

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