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

von Bita Mokhlesabadifarahani, Vinit Kumar Gunjan

35 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: SpringerBriefs in Applied Sciences and Technology
• Themen: Medizin Gesundheitsfachberufe Biomedizinische Technik / Medizintechnik
• ISBN: 9789812873194
• Sprache: Englisch
• Erscheinungsdatum: 11.03.2015
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Singapore