Author : Bita Mokhlesabadifarahani
Publisher : Springer
ISBN 13 : 9812873201
Total Pages : 43 pages
Book Rating : 4.8/5 (128 download)
Book Synopsis EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction by : Bita Mokhlesabadifarahani
Download or read book EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction written by Bita Mokhlesabadifarahani and published by Springer. This book was released on 2015-02-10 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.