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

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Opis

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.

Szczegóły książki

Kategoria Books in English Medicine Clinical & internal medicine Musculoskeletal medicine

• Pełny tytuł: EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
• Autor: Bita Farahani, Vinit Kumar Gunjan
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 35
• EAN: 9789812873194
• ISBN: 9812873198
• ID: 09034675
• Wydawca: Springer Verlag, Singapore
• Waga: 102 g
• Wymiary: 158 × 237 × 5 mm
• Data wydania: 11. March 2015

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