Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Emg Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction

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

Mokhlesabadifarahani, Bita
Gunjan, Vinit Kumar

Paperback

Medical ReferenceTechnology & Engineering

ISBN10: 9812873198
ISBN13: 9789812873194
Publisher: Springer
Published: Mar 11 2015
Pages: 35
Weight: 0.19
Height: 0.11 Width: 6.14 Depth: 9.21
Language: English
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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