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[null,"1.","Record Nr.",null,"UNIORUON00272081"]
[null,null,"Autore",null,"EMPEIRIKOS, Andreas"]
[null,null,"Titolo",null,"Ypsikaminos / Andrea Empeirikou"]
[null,null,"Pubbl/distr/stampa",null,"Athena, : Pleias, 1974"]
[null,null,"Descrizione fisica",null,"72 p. ; 20 cm."]
[null,null,"Disciplina",null,"889"]
[null,null,"Lingua di pubblicazione",null,"Greco Moderno"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910299687003321"]
[null,null,"Autore",null,"Mokhlesabadifarahani Bita"]
[null,null,"Titolo",null,"EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction / / by Bita Mokhlesabadifarahani, Vinit Kumar Gunjan"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"981-287-320-1"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (43 p.)"]
[null,null,"Collana",null,"SpringerBriefs in Forensic and Medical Bioinformatics, , 2196-8845"]
[null,null,"Disciplina",null,"502.85"]
[{"$nulls":4},"570285"]
[{"$nulls":4},"610.28"]
[{"$nulls":4},"614.1"]
[{"$nulls":4},"616.7"]
[{"$nulls":4},"617.03"]
[{"$nulls":4},"620"]
[{"$nulls":4},"621.3848"]
[null,null,"Soggetti",null,"Biomedical engineering"]
[{"$nulls":4},"Orthopedics"]
[{"$nulls":4},"Forensic sciences"]
[{"$nulls":4},"Bioinformatics"]
[{"$nulls":4},"Medical informatics"]
[{"$nulls":4},"Rehabilitation"]
[{"$nulls":4},"Biomedical Engineering and Bioengineering"]
[{"$nulls":4},"Forensic Science"]
[{"$nulls":4},"Computational Biology/Bioinformatics"]
[{"$nulls":4},"Health Informatics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Introduction to EMG Technique and Feature Extraction -- Methodology for  working with EMG dataset -- Results -- Conclusions and Inferences of Present Study."]
[null,null,null,"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 "]
[{"$nulls":4},"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."]