Gunjan / Mokhlesabadifarahani - EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction

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

Medium: Buch

ISBN: 978-981-287-319-4

Verlag: Springer Nature Singapore

Erscheinungstermin: 11.03.2015

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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.

Produkteigenschaften

Artikelnummer: 9789812873194
Medium: Buch
ISBN: 978-981-287-319-4
Verlag: Springer Nature Singapore
Erscheinungstermin: 11.03.2015
Sprache(n): Englisch
Auflage: 2015
Serie: SpringerBriefs in Applied Sciences and Technology
Produktform: Kartoniert
Gewicht: 949 g
Seiten: 35
Format (B x H x T): 155 x 235 x 4 mm
Ausgabetyp: Kein, Unbekannt

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

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

Beschreibung

Autoren/Hrsg.

Inhalt

Produkteigenschaften

Themen