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Evaluation of features used in electromyography classification

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dc.contributor.author Alguner, Ayber Eray
dc.contributor.author Ergezer, Halit
dc.date.accessioned 2023-02-16T12:48:53Z
dc.date.available 2023-02-16T12:48:53Z
dc.date.issued 2021-06-09
dc.identifier.citation Alguner, Ayber Eray; Ergezer, Halit (2021). "Evaluation of features used in electromyography classification", SIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings. tr_TR
dc.identifier.isbn 9781665436496
dc.identifier.uri http://hdl.handle.net/20.500.12416/6252
dc.description.abstract Classification of electromyography (EMG) signals using machine learning has been studied for a long time. Today, this classification is tried to be made more accurate, fast and applicable by using the methods developed. However, beside this effort, it is suspected that researchers are using features without taking into account the effects on the classification performance, but often by influence of other researches. From this point of view, the effects of some features used in studies published in recent years on classification performance were tested and the results obtained were shared. In the experiments performed using a common method support vector machine (SVM), it was found that increasing the number of features does not always provide an increase in performance, even in some cases, it causes a decrease in accuracy rates. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1109/SIU53274.2021.9477886 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Electromyography tr_TR
dc.subject Feature Evaluation tr_TR
dc.subject SVM tr_TR
dc.title Evaluation of features used in electromyography classification tr_TR
dc.title.alternative Elektromiyografi sınıflandırmasında kullanılan özniteliklerin deǧerlendirilmesi tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal SIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings tr_TR
dc.contributor.authorID 293396 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Mekatronik Mühendisliği Bölümü tr_TR


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