[PDF.72mc] EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (SpringerBriefs in Applied Sciences and Technology)

EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (SpringerBriefs in Applied Sciences and Technology)

[PDF.yl10] EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (SpringerBriefs in Applied Sciences and Technology)

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 | #1753567 in Books |  Vinit Kumar Gunjan Bita Farahani |  2015-02-11 |  2015-02-12 | Original language:English | PDF # 1 |  9.25 x.13 x6.10l,.0 | File type: PDF | 35 pages

 | EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction SpringerBriefs in Applied Sciences and Technology

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||About the Author|Ms. Bita is an Occupational Therapist with dignified academic background over eight years experience in treatment of multiple sclerosis, Neuro-rehabilitation, Orthopedic Rehabilitation and researcher role in the Neuro-rehabilitation research, Er

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 i...

You can specify the type of files you want, for your device.EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (SpringerBriefs in Applied Sciences and Technology)   |  Bita Mokhlesabadifarahani, Vinit Kumar Gunjan. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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