| Title | : | EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction |
|---|---|---|
| Author | : | Bita Mokhlesabadifarahani & Vinit Kumar Gunjan |
| Release | : | 2015-02-10 |
| Kind | : | ebook |
| Genre | : | Engineering, Books, Professional & Technical, Medical, Health, Mind & Body, Psychology, Law, Science & Nature, Biology |
| Size | : | 1328623 |
| 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. |
