04239nam 22008655 450 991029968700332120200702052029.0981-287-320-110.1007/978-981-287-320-0(CKB)3710000000357008(EBL)1974162(SSID)ssj0001452084(PQKBManifestationID)11889955(PQKBTitleCode)TC0001452084(PQKBWorkID)11478732(PQKB)11681694(DE-He213)978-981-287-320-0(MiAaPQ)EBC1974162(PPN)184495342(EXLCZ)99371000000035700820150210d2015 u| 0engur|n|---|||||txtccrEMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction /by Bita Mokhlesabadifarahani, Vinit Kumar Gunjan1st ed. 2015.Singapore :Springer Singapore :Imprint: Springer,2015.1 online resource (43 p.)SpringerBriefs in Forensic and Medical Bioinformatics,2196-8845Description based upon print version of record.981-287-319-8 Includes bibliographical references.Introduction to EMG Technique and Feature Extraction -- Methodology for  working with EMG dataset -- Results -- Conclusions and Inferences of Present Study.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.SpringerBriefs in Forensic and Medical Bioinformatics,2196-8845Biomedical engineeringOrthopedicsForensic sciencesBioinformaticsMedical informaticsRehabilitationBiomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XOrthopedicshttps://scigraph.springernature.com/ontologies/product-market-codes/H45000Forensic Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/B23000Computational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Rehabilitationhttps://scigraph.springernature.com/ontologies/product-market-codes/H55006Biomedical engineering.Orthopedics.Forensic sciences.Bioinformatics.Medical informatics.Rehabilitation.Biomedical Engineering and Bioengineering.Orthopedics.Forensic Science.Computational Biology/Bioinformatics.Health Informatics.Rehabilitation.502.85570285610.28614.1616.7617.03620621.3848Mokhlesabadifarahani Bitaauthttp://id.loc.gov/vocabulary/relators/aut721003Gunjan Vinit Kumarauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299687003321EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction2507763UNINA