2026-10-23T20:02:34Zhttps://gumushane-rdlopen.rawdatalibrary.net/oai/request

oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/159212026-10-22T10:26:13Zopenairecom_gumushane_10000col_gumushane_10001

R-peaks Detection with Convolutional Neural Network in Electrocardiogram SignalDogan, Ramazan OzgurKayikçioglu, TemelIEEEECGConvolutional Neural NetworkR-peaksThe performance of electrocardiogram applications is closely related to the succesful detection of R-peaks. Therefore, successful detection of R-peaks is of high importance. Electrocardiogram signals vary from person to person, so detection of R-peaks is getting difficult. In this study, Evolutionary Neural Network which is a deep learning model and imitates human vision, is used to detect R-peaks. The MIT-BIH Arrhythmia Database with 48 different records was used as the database and experimental results with very high accuracy were obtained.IEEE2018Conference Objecthttps://rdlopen.rawdatalibrary.net/r/gumushane/15921978-1-5386-1501-02165-0608tr2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)info:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/conferenceObjecthttps://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/15921