| dc.contributor.author | Akdeniz, Fulya | |
| dc.contributor.author | Kayıkcıoğu, Temel | |
| dc.date.accessioned | 2020-12-19T19:49:04Z | |
| dc.date.available | 2020-12-19T19:49:04Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Akdeniz, F. & Kayıkcıoğlu, T. (2017). Büyük Choi Williams Zaman-Frekans Öznitelik
Seti Kullanarak EKG Aritmi Tespiti. 2017 Medical Technologies National Congress (Tiptekno). http://doi.org/10.1109/TIPTEKNO.2017.8238090 | en_US |
| dc.identifier.isbn | 978-1-5386-0633-9 | |
| dc.identifier.uri | https://hdl.handle.net/11436/2214 | |
| dc.identifier.uri | http://doi.org/10.1109/TIPTEKNO.2017.8238090 | en_US |
| dc.description | Medical Technologies National Congress (TIPTEKNO) -- OCT 12-14, 2017 -- TRABZON, TURKEY | en_US |
| dc.description | WOS: 000427649500064 | en_US |
| dc.description.abstract | Early detection and monitoring of heart diseases increase human quality of life and this can prevent negative consequences. It is even more important because it can prevent sudden deaths. in today's technology, these operations can be done with telemedicine systems. in this work, appropriate methods have been proposed for telemedicine systems. the proposed system is of two classes and is based on detection of arrhythmia from healthy and diseased ECG signals. MIT-BIH Arrhythmia database was used in the study. A total of 103026 R-R interval were used in this database. in this study, the Choi-Williams transformation is used as an feature extraction method. the performance results are given as accuracy, specificity and positive predictive accuracy, respectively 94.67%, 94.97%, 92.57%, 97.36%, 97.23% | en_US |
| dc.description.sponsorship | IEEE Turkey Sect | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | Ieee | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Electrocardiogram (ECG) | en_US |
| dc.subject | Time-Frequency Analysis | en_US |
| dc.subject | Choi-Williams Distribution | en_US |
| dc.subject | Arrhythmia Detection | en_US |
| dc.subject | Telemedicine | en_US |
| dc.title | Büyük Choi Williams zaman-frekans öznitelik
seti kullanarak EKG aritmi tespiti | en_US |
| dc.title.alternative | Detection of ECG arrhythmia using large Choi Williams time-frequency feature fet | en_US |
| dc.type | conferenceObject | en_US |
| dc.contributor.department | RTEÜ, Mühendislik ve Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.contributor.institutionauthor | Akdeniz, Fulya | |
| dc.identifier.doi | 10.1109/TIPTEKNO.2017.8238090 | en_US |
| dc.relation.journal | 2017 Medical Technologies National Congress (Tiptekno) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
