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

Beschreibung

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.
Includes supplementary material: sn.pub/extras

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Bita Mokhlesabadifarahani

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

Electromyography (EMG) Feature Extraction Fuzzy Network Musculoskeletal Disorders Neuro-fuzzy Classifiers Neuro-muscular Disorders Neuro-rehabilitation Orthopedic Rehabilitation

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