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

by Bita Mokhlesabadifarahani and Vinit Kumar Gunjan

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.

• Format: Paperback
• Language: English
• ISBN: 9812873198
• ISBN13: 9789812873194
• Release Date: March 2015
• Publisher: Springer
• Length: 35 Pages
• Weight: 0.19 lbs.
• Dimensions: 0.1" x 6.1" x 9.2"