Emg Signals Chacteriation In Three States Ò Contraction By Fuzzy Network And Feature Ẽtraction

EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
By: Bita Mokhlesabadifarahani; Vinit Kumar Gunjan
Publisher:
Springer
Print ISBN: 9789812873194, 9812873198
eText ISBN: 9789812873200, 9812873201
Copyright year: 2015
Format: EPUB
Available from $ 69.99 USD
SKU: 9789812873200 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. SKU: 9789812873194
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