Publication:
Neuromuscular Disease Diagnosis of SVM, K-NN and DA Algorithm Based Classification Part-I

dc.authorscopusid55807927000
dc.authorscopusid7801457993
dc.contributor.authorKüçük, H.
dc.contributor.authorEminoǧlu, I.
dc.date.accessioned2025-12-10T23:38:49Z
dc.date.issued2017
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Küçük] Hanife, Biyomedikal Araştirma Lisansüstü Laboratuari: (BAL-LAB), Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Eminoǧlu] Ilyas, Biyomedikal Araştirma Lisansüstü Laboratuari: (BAL-LAB), Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_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. © 2016 IEEE.en_US
dc.identifier.doi10.1109/TIPTEKNO.2016.7863105
dc.identifier.isbn9781509023868
dc.identifier.scopus2-s2.0-85016119885
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO.2016.7863105
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36029
dc.identifier.wosqualityN/A
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 2016 Medical Technologies National Conference, TIPTEKNO 2016 -- 2016-10-27 through 2016-10-29 -- Antalya -- 126633en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectALSen_US
dc.subjectClusteren_US
dc.subjectEMGen_US
dc.subjectMUAPen_US
dc.titleNeuromuscular Disease Diagnosis of SVM, K-NN and DA Algorithm Based Classification Part-Ien_US
dc.title.alternativeNöromüsküler Hastalıkların Teşhisinde SVM, Keyk Ve DA Algoritma Tabanlı Sınıflandırma Bölüm-Ien_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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