| dc.contributor.author | Dogan, Ramazan Ozgur | |
| dc.contributor.author | Kayikcioglu, Temel | |
| dc.date.accessioned | 2021-11-09T19:43:17Z | |
| dc.date.available | 2021-11-09T19:43:17Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 978-1-5386-1501-0 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12440/3589 | |
| dc.description | 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY | en_US |
| dc.description.abstract | The 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. | en_US |
| dc.description.sponsorship | IEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univ | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2018 26th Signal Processing and Communications Applications Conference (Siu) | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | ECG | en_US |
| dc.subject | Convolutional Neural Network | en_US |
| dc.subject | R-peaks | en_US |
| dc.title | R-peaks Detection with Convolutional Neural Network in Electrocardiogram Signal | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.description.wospublicationid | WOS:000511448500508 | en_US |
| dc.description.scopuspublicationid | 2-s2.0-85050802373 | en_US |
| dc.department | Gümüşhane Üniversitesi | en_US |
| dc.authorwosid | Kayikcioglu, Temel / ABB-6149-2020 | |
| dc.authorscopusid | 56247021800 | |
| dc.authorscopusid | 6603390413 | |
