By Bita Mokhlesabadifarahani, Vinit Kumar Gunjan
Neuro-muscular and musculoskeletal problems and accidents hugely have an effect on the life-style and the movement skills of someone. This short highlights a scientific procedure for detection of the extent of muscle strength declining in musculoskeletal and Neuro-muscular problems. The neuro-fuzzy approach is knowledgeable with 70 percentage of the recorded Electromyography (EMG) bring to an end window after which used for type and modeling reasons. The neuro-fuzzy classifier is proven compared to another recognized classifiers in category of the recorded EMG indications with the 3 states of contractions such as the extracted good points. diversified buildings of the neuro-fuzzy classifier also are relatively analyzed to discover the optimal constitution of the classifier used.
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Additional info for EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction by Bita Mokhlesabadifarahani, Vinit Kumar Gunjan
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