EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
Mokhlesabadifarahani, Bita, Gunjan, Vinit Kumar
Produktnummer:
187cb3f315966645de86a63bd1b1627289
| Autor: | Gunjan, Vinit Kumar Mokhlesabadifarahani, Bita |
|---|---|
| Themengebiete: | Electromyography (EMG) Feature Extraction Fuzzy Network Musculoskeletal Disorders Neuro-fuzzy Classifiers Neuro-muscular Disorders Neuro-rehabilitation Orthopedic Rehabilitation |
| Veröffentlichungsdatum: | 11.03.2015 |
| EAN: | 9789812873194 |
| Sprache: | Englisch |
| Seitenzahl: | 35 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Singapore |
Produktinformationen "EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction"
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.
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