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

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Paru le : 2015-02-10

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 ...
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Description du livre

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.

À propos

Auteur
Vinit Kumar Gunjan , Bita Mokhlesabadifarahani
Éditeur
Springer
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2015-02-10
Pages
35 pages
EAN papier
9789812873194

Caractéristiques détaillées - droits

EAN EPUB
9789812873200
Prix
52,74 €
Nombre pages copiables
0
Nombre pages imprimables
3
Taille du fichier
707 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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