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

丛 书 名：SpringerBriefs in Applied Sciences and Technology

版本说明：1

作     者：Bita Mokhlesabadifarahani, Vinit Kumar Gunjan (auth.) 

I S B N：(纸本) 9789812873194;9789812873200 

出 版 社：Springer-Verlag Singapur 

出 版 年：2015年

页      数：43页

摘      要：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.