Name: Emg Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Springerbriefs in Applied Sciences and Technology) (en Inglés)
Price: 264.43 PEN
Availability: InStock
Author: Bita Mokhlesabadifarahani; Vinit Kumar Gunjan
ISBN: 9789812873194

portada Emg Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Springerbriefs in Applied Sciences and Technology) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Bita Mokhlesabadifarahani; Vinit Kumar Gunjan

Año

2015

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9789812873194

N° edición

2015

Categorías

Medicina forense

Emg Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Springerbriefs in Applied Sciences and Technology) (en Inglés)

Bita Mokhlesabadifarahani; Vinit Kumar Gunjan (Autor) · Springer · Tapa Blanda

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Reseña del libro "Emg Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Springerbriefs in Applied Sciences and Technology) (en Inglés)"

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.