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Books > Medicine > Clinical & internal medicine > Musculoskeletal medicine
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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Paperback, 2015 ed.)
Loot Price: R1,700
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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Paperback, 2015 ed.)
Series: SpringerBriefs in Forensic and Medical Bioinformatics
Expected to ship within 10 - 15 working days
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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.
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