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Autore: | Mokhlesabadifarahani Bita |
Titolo: | EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction / / by Bita Mokhlesabadifarahani, Vinit Kumar Gunjan |
Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015 |
Edizione: | 1st ed. 2015. |
Descrizione fisica: | 1 online resource (43 p.) |
Disciplina: | 502.85 |
570285 | |
610.28 | |
614.1 | |
616.7 | |
617.03 | |
620 | |
621.3848 | |
Soggetto topico: | Biomedical engineering |
Orthopedics | |
Forensic science | |
Bioinformatics | |
Health informatics | |
Rehabilitation | |
Biomedical Engineering and Bioengineering | |
Forensic Science | |
Computational Biology/Bioinformatics | |
Health Informatics | |
Persona (resp. second.): | GunjanVinit Kumar |
Note generali: | Description based upon print version of record. |
Nota di bibliografia: | Includes bibliographical references. |
Nota di contenuto: | Introduction to EMG Technique and Feature Extraction -- Methodology for working with EMG dataset -- Results -- Conclusions and Inferences of Present Study. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction |
ISBN: | 981-287-320-1 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910299687003321 |
Lo trovi qui: | Univ. Federico II |
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