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An algorithm for automatic detection of repeater F-waves and MUNE studies

dc.contributor.authorSirin, N. Gorkem
dc.contributor.authorOge, Ali Emre
dc.contributor.authorArtug, N. Tugrul
dc.contributor.authorBaslo, Mehmet Barış
dc.contributor.authorAkarsu, Emel Oguz
dc.date.accessioned2021-03-06T21:19:56Z
dc.date.available2021-03-06T21:19:56Z
dc.identifier.citationArtug N. T. , Sirin N. G. , Akarsu E. O. , Baslo M. B. , Oge A. E. , "An algorithm for automatic detection of repeater F-waves and MUNE studies", BIOMEDICAL SIGNAL PROCESSING AND CONTROL, cilt.51, ss.264-276, 2019
dc.identifier.issn1746-8094
dc.identifier.othervv_1032021
dc.identifier.otherav_fe3970df-a6df-4e33-95b9-673032eaf1e9
dc.identifier.urihttp://hdl.handle.net/20.500.12627/166267
dc.identifier.urihttps://doi.org/10.1016/j.bspc.2019.02.025
dc.description.abstractThe present study aims to develop an algorithm and software that automatically detects repeater F-waves which are very difficult to analyze when elicited as high number of recordings in motor unit number estimation studies. The main strategy of the study was to take the repeater F waves discriminated by the neurologist, from limited number of recordings, as the gold standard and to test the conformity of the results of the new automated method.
dc.language.isoeng
dc.subjectMühendislik ve Teknoloji
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.titleAn algorithm for automatic detection of repeater F-waves and MUNE studies
dc.typeMakale
dc.relation.journalBIOMEDICAL SIGNAL PROCESSING AND CONTROL
dc.contributor.departmentİstanbul Arel Üniversitesi , ,
dc.identifier.volume51
dc.identifier.startpage264
dc.identifier.endpage276
dc.contributor.firstauthorID65409


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