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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Paperback, 2015 ed.) Loot Price: R1,270
Discovery Miles 12 700
EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Paperback, 2015 ed.): Bita...

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

Bita Mokhlesabadifarahani, Vinit Kumar Gunjan

Series: SpringerBriefs in Forensic and Medical Bioinformatics

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Loot Price R1,270 Discovery Miles 12 700 | Repayment Terms: R119 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: SpringerBriefs in Forensic and Medical Bioinformatics
Release date: March 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
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LSN: 981-287-319-8
Barcode: 9789812873194

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