EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
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...
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| Huvudupphovsmän: | , |
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| Materialtyp: | Elektronisk E-bok |
| Språk: | English |
| Publicerad: |
Singapore :
Springer Singapore : Imprint: Springer,
2015.
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| Upplaga: | 1st ed. 2015. |
| Serie: | SpringerBriefs in Forensic and Medical Bioinformatics,
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| Ämnen: | |
| Länkar: | https://doi.org/10.1007/978-981-287-320-0 |
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| LEADER | 03640nam a22006135i 4500 | ||
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| 245 | 1 | 0 | |a EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction |h [electronic resource] / |c by Bita Mokhlesabadifarahani, Vinit Kumar Gunjan. |
| 250 | |a 1st ed. 2015. | ||
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| 505 | 0 | |a Introduction to EMG Technique and Feature Extraction -- Methodology for working with EMG dataset -- Results -- Conclusions and Inferences of Present Study. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Orthopedics. | |
| 650 | 0 | |a Forensic science. | |
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| 650 | 0 | |a Rehabilitation. | |
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