Tags
Language
Tags
March 2024
Su Mo Tu We Th Fr Sa
25 26 27 28 29 1 2
3 4 5 6 7 8 9
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30
31 1 2 3 4 5 6

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

Posted By: Underaglassmoon
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
Springer | Forensic Medicine, Surgery, Orthopaedics, Biomedical Engineering | Feb. 11 2015 | ISBN-10: 9812873198 | 35 pages | pdf | 2.8 mb

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.
More info at Springer.com