PrepAnnECG: A user friendly MATLAB ECG preprocessing and annotation GUI for health professionals
| dc.contributor.author | Nalan Ozkurt | |
| dc.contributor.author | Ozkurt, Nalan | |
| dc.date | DEC | |
| dc.date.accessioned | 2025-10-06T16:20:25Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Electrocardiography (ECG) is an indispensable tool for diagnosing heart diseases. However long ECG records should be annotated by clinicians for training the Artificial Intelligence (AI) algorithms. Furthermore raw ECG should be processed for better learning. This paper introduces an open-source user-friendly Matlab preprocessing and annotation interface. preprocessECG offers a GUI for cropping manual artifact removal filtering and segmentation. Also custom preprocessing software can be invoked from the interface. PrepAnnECG is an easy-to-use ECG annotation GUI that is suitable for long records. The outputs of both GUI are comma-separated value (csv) files that any machine learning algorithm can read. | |
| dc.description.sponsorship | bugs and proposing improvements. This study has been supported by the The Scientific and Techno-logical Research Council of Turkiye TUBIcenter dotTAK 1001-121E119 Research Project. | |
| dc.description.sponsorship | Scientific and Techno-logical Research Council of Turkiye [TBIbull;TAK 1001-121E119] | |
| dc.description.sponsorship | Ege University Medical School; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK | |
| dc.description.sponsorship | This study has been supported by the The Scientific and Technological Research Council of Turkiye TÜBİTAK 1001–121E119 Research Project. | |
| dc.description.sponsorship | The author thanks Assoc.Prof.Dr. Evrim Şimsek, Dept. of Cardiology, Ege University Medical School, Turkey, for his support during concept development. I also would thank Ege University Medical School students Özlem Memiş and Nurbanu Dedebağı for testing the software, reporting bugs and proposing improvements. This study has been supported by the The Scientific and Technological Research Council of Turkiye TÜBİTAK 1001–121E119 Research Project. | |
| dc.identifier.doi | 10.1016/j.softx.2023.101589 | |
| dc.identifier.issn | 2352-7110 | |
| dc.identifier.scopus | 2-s2.0-85178662129 | |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.softx.2023.101589 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/6363 | |
| dc.identifier.uri | https://doi.org/10.1016/j.softx.2023.101589 | |
| dc.language.iso | English | |
| dc.publisher | ELSEVIER | |
| dc.relation.ispartof | SoftwareX | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | SOFTWAREX | |
| dc.subject | ECG annotation, Preprocessing, Data preparation for machine learning | |
| dc.subject | ECG Annotation | |
| dc.subject | Preprocessing | |
| dc.subject | Data Preparation for Machine Learning | |
| dc.title | PrepAnnECG: A user friendly MATLAB ECG preprocessing and annotation GUI for health professionals | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.author.id | OZKURT, NALAN/0000-0002-7970-198X | |
| gdc.author.institutional | Ozkurt, Nalan (8546186400) | |
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| gdc.description.department | ||
| gdc.description.departmenttemp | [Ozkurt, Nalan] Yasar Univ, Dept Elect & Elect Engn, Izmir, Turkiye | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 101589 | |
| gdc.description.volume | 24 | |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
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| gdc.oaire.keywords | ECG annotation | |
| gdc.oaire.keywords | QA76.75-76.765 | |
| gdc.oaire.keywords | Computer software | |
| gdc.oaire.keywords | Data preparation for machine learning | |
| gdc.oaire.keywords | Preprocessing | |
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| gdc.virtual.author | Özkurt, Nalan | |
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| person.identifier.orcid | OZKURT- NALAN/0000-0002-7970-198X | |
| project.funder.name | Scientific and Techno-logical Research Council of Turkiye [TBIbull,TAK 1001-121E119] | |
| publicationvolume.volumeNumber | 24 | |
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