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Main description:
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.
Contents:
Introduction to EMG Technique and Feature Extraction.- Methodology for working with EMG dataset.- Results.- Conclusions and Inferences of Present Study.
PRODUCT DETAILS
Publisher: Springer (Springer Verlag, Singapore)
Publication date: March, 2015
Pages: 125
Weight: 949g
Availability: Available
Subcategories: Biomedical Engineering, Orthopaedics and Fractures, Rehabilitation
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