Arrhythmia Detection From 12-Lead ECG with 2-Phase Feature Extraction: By Presenting the Evaluation of Atrial Fibrillation
| dc.contributor.author | Erol Dogan, Gizemnur | |
| dc.contributor.author | Tezel, Gulay | |
| dc.contributor.author | Solak, Fatma Zehra | |
| dc.contributor.author | Uzbas, Betul | |
| dc.date.accessioned | 2025-12-24T21:38:19Z | |
| dc.date.available | 2025-12-24T21:38:19Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | 12-Lead Electrocardiography (ECG) is an essential diagnostic tool for detecting Cardiac Arrhythmias (CAs). In this study, Arrhythmia Detection (AD) was conducted using a 12-Lead ECG dataset. The dataset underwent specific preprocessing, and a hybrid 2-Phase Feature Extraction (2-PFE) method was proposed: (1) QRS detection using the Pan-Tompkins algorithm, and (2) P-Peak detection using windowing. The study specifically focused on analyzing Atrial Fibrillation (AFIB) separately from other arrhythmia types. This approach was evaluated through three classification models: SR and NON-SR, SR and NON-SR without AFIB, SR and AFIB. | en_US |
| dc.identifier.doi | 10.1007/s11760-025-04960-5 | |
| dc.identifier.issn | 1863-1703 | |
| dc.identifier.issn | 1863-1711 | |
| dc.identifier.scopus | 2-s2.0-105021967635 | |
| dc.identifier.uri | https://doi.org/10.1007/s11760-025-04960-5 | |
| dc.identifier.uri | https://hdl.handle.net/123456789/12736 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer London Ltd | en_US |
| dc.relation.ispartof | Signal Image and Video Processing | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | 12-Lead ECG | en_US |
| dc.subject | Arrhythmia Detection | en_US |
| dc.subject | Atrial Fibrillation | en_US |
| dc.subject | Feature Extraction | en_US |
| dc.subject | Machine Learning | en_US |
| dc.title | Arrhythmia Detection From 12-Lead ECG with 2-Phase Feature Extraction: By Presenting the Evaluation of Atrial Fibrillation | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
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| gdc.author.wosid | Erol Doğan, Gizemnur/Hjg-5440-2022 | |
| gdc.author.wosid | Uzbaş, Betül/Aam-2345-2020 | |
| gdc.author.wosid | Tezel, Gülay/Ivh-8315-2023 | |
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| gdc.description.department | Konya Technical University | en_US |
| gdc.description.departmenttemp | [Erol Dogan, Gizemnur; Solak, Fatma Zehra] Konya Tech Univ, Software Engn Dept, Konya, Turkiye; [Tezel, Gulay; Uzbas, Betul] Konya Tech Univ, Comp Engn Dept, Konya, Turkiye | en_US |
| gdc.description.issue | 16 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q2 | |
| gdc.description.volume | 19 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.description.wosquality | Q3 | |
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| gdc.virtual.author | Erol Doğan, Gizemnur | |
| gdc.virtual.author | Uzbaş, Betül | |
| gdc.virtual.author | Tezel, Gülay | |
| gdc.virtual.author | Solak, Fatma Zehra | |
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