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

Häftad, Engelska, 2015

Av Bita Mokhlesabadifarahani, Vinit Kumar Gunjan

729 kr

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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.

Produktinformation

  • Utgivningsdatum2015-03-11
  • Mått155 x 235 x 5 mm
  • Vikt102 g
  • FormatHäftad
  • SpråkEngelska
  • SerieSpringerBriefs in Forensic and Medical Bioinformatics
  • Antal sidor35
  • FörlagSpringer Verlag, Singapore
  • ISBN9789812873194

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