EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction 1

Kropp & själ

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

Bita Mokhlesabadifarahani • Vinit Kumar Gunjan

Pocket

1039:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 7-11 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

35 sidor
2015

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.

Författare: Bita Mokhlesabadifarahani, Vinit Kumar Gunjan
Format: Pocket/Paperback
ISBN: 9789812873194
Språk: Engelska
Antal sidor: 35
Utgivningsdatum: 2015-03-11
Förlag: Springer Verlag, Singapore