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Springer
EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
Product Code:
9789812873194
ISBN13:
9789812873194
Condition:
New
$60.77
EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
$60.77
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.
| Author: Bita Mokhlesabadifarahani, Vinit Kumar Gunjan |
| Publisher: Springer |
| Publication Date: Mar 11, 2015 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 9812873198 |
| ISBN-13: 9789812873194 |
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