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dc.contributor.authorKucuk, Hanife
dc.contributor.authorEminoglu, Ilyas
dc.date.accessioned2020-06-21T13:51:52Z
dc.date.available2020-06-21T13:51:52Z
dc.date.issued2015
dc.identifier.isbn978-1-5090-2386-8
dc.identifier.urihttps://hdl.handle.net/20.500.12712/14778
dc.descriptionMedical Technologies National Conference (TIPTEKNO) -- OCT 27-29, 2016 -- Antalya, TURKEYen_US
dc.descriptionWOS: 000455003600044en_US
dc.description.abstractThis study includes a classification structure consisting of first three stages for the automatic diagnosis of the neuromuscular disease of ALS (Amyotrophic Lateral Sclerosis) and myopathy being a muscular disease. In this study; EMG mark representing best MUAP will be determined for the right to comment sign EMG. After the first stage of the raw EMG data eliminated by noise the segmentation stage MUAP were separated. In the clustering stage, a hybrid structure is used to optimize the number of clusters. MUAP 's clustering will allow transactions to be made with small data sets in the next second section.en_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEMGen_US
dc.subjectALSen_US
dc.subjectMUAPen_US
dc.subjectclusteren_US
dc.titleNeuromuscular Disease Diagnosis of SVM, K-NN and DA Algorithm Based Classification Part-Ien_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.relation.journal2016 Medical Technologies National Conference (Tiptekno)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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