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Determination of window size and sliding interval for EMG signals by using genetic algorithm

dc.contributor.authorÇalışkan, Abdullah
dc.contributor.authorBadem, Hasan
dc.contributor.authorÇil, Zeynel Abidin
dc.date.accessioned2020-05-24T14:24:18Z
dc.date.available2020-05-24T14:24:18Z
dc.date.issued2019
dc.identifier.citationÇalışkan, A., Badem, H., Çil, Z.A. (2019).Determination of window size and sliding interval for EMG signals by using genetic algorithm [Article@EMG sinyalleri için pencere genişliǧinin ve kaydirma miktarinin genetik algoritmayla belirlenmesi] TIPTEKNO 2019 - Tip Teknolojileri Kongresi, art. no. 8895122.https://doi.org/10.1109/TIPTEKNO.2019.8895122en_US
dc.identifier.isbn9781728124209
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO.2019.8895122
dc.identifier.urihttps://hdl.handle.net/20.500.12508/1062
dc.description2019 Medical Technologies Congress, TIPTEKNO 2019 -- 3 October 2019 through 5 October 2019 -- -- 154293en_US
dc.description.abstractThe selection of window size and sliding interval are one of the important problems encountered in Electromyography (EMG) signal processing. However, there exist a few methods to determine the window size and sliding interval for EMG signal classification problems. In this paper, a new method is proposed to optimize the window size and sliding interval for EMG signals by using Genetic Algorithm. Experimental results on a EMG data set show that the proposed method improve the performance of a traditional classifier in terms of classification accuracy. © 2019 IEEE.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionof10.1109/TIPTEKNO.2019.8895122en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectElectromyographyen_US
dc.subjectGenetic algorithmen_US
dc.subjectSliding intervalen_US
dc.subjectWindow sizeen_US
dc.subject.classificationElectromyography | Artificial Limb | Hand Gesture Recognitionen_US
dc.subject.classificationEngineering, Biomedicalen_US
dc.subject.otherBiomedical engineeringen_US
dc.subject.otherClassification (of information)en_US
dc.subject.otherElectromyographyen_US
dc.subject.otherGenetic algorithmsen_US
dc.subject.otherClassification accuracyen_US
dc.subject.otherData seten_US
dc.subject.otherEMG signalen_US
dc.subject.otherEmg signal classificationsen_US
dc.subject.otherSliding intervalen_US
dc.subject.otherWindow Sizeen_US
dc.subject.otherBiomedical signal processingen_US
dc.subject.otherClassificationen_US
dc.titleDetermination of window size and sliding interval for EMG signals by using genetic algorithmen_US
dc.title.alternativeEMG sinyalleri için pencere genişli?inin ve kaydirma miktarinin genetik algoritmayla belirlenmesien_US
dc.typeconferenceObjecten_US
dc.relation.journalTIPTEKNO 2019 - Tip Teknolojileri Kongresien_US
dc.contributor.departmentİskenderun Teknik Üniversitesien_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesi -- Biyomedikal Mühendisliği Bölümüen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorÇalışkan, Abdullahen_US
dc.relation.indexWeb of Science Core Collection - Conference Proceedings Citation Index- Scienceen_US
dc.relation.indexWeb of Science - Scopusen_US


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