EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
2015 ed.
Book Details
Format
Paperback / Softback
ISBN-10
9812873198
ISBN-13
9789812873194
Edition
2015 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
SG
Country of Publication
GB
Publication Date
Mar 11th, 2015
Print length
35 Pages
Weight
102 grams
Dimensions
15.80 x 23.70 x 0.50 cms
Product Classification:
Musculoskeletal medicineBiomedical engineering
Ksh 8,100.00
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Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used.
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.
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