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Determining MUAP Activity Corridor In Scanning EMG Recordings

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dc.contributor.authorArtug, N. Tugrul
dc.contributor.authorBolat, Bulent
dc.contributor.authorOsman, Onur
dc.contributor.authorGoker, Imran
dc.contributor.authorBaslo, M. Baris
dc.date.accessioned2026-06-27T13:55:34Z
dc.date.issued2015
dc.description.abstractIn scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration and number of peaks easily, first the other motor unit activities must be discarded. In this study a new method is proposed to determine the activity corridor that related with the motor unit to be examined in scanning EMG recordings. This method is comprised of wavelet transform based noise reduction and autocorrelation function based location detection. Number of 34 scanning EMG recordings was tested by using this method and the activity corridors were determined correctly.en
dc.description.urihttps://doi.org/10.1109/inista.2015.7276766
dc.identifier.doi10.1109/inista.2015.7276766
dc.identifier.endpage313
dc.identifier.isbn978-1-4673-7751-5
dc.identifier.startpage309
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55787
dc.identifier.wos000380428200042
dc.language.isoeng
dc.publisherIEEE
dc.relation.conferenceInternational Symposium on Innovations in Intelligent SysTems and Applications (INISTA 2015)
dc.relation.ispartof2015 INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA) PROCEEDINGS
dc.subjectScanning EMG
dc.subjectneuromuscular diseases
dc.subjectactivity corridor
dc.subjectwavelet transform
dc.subjectautocorrelation function
dc.subjectELECTROMYOGRAPHY
dc.subjectComputer Science
dc.titleDetermining MUAP Activity Corridor In Scanning EMG Recordings
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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