Nalan Ǒzkurt2025-10-062023235271102352-711010.1016/j.softx.2023.101589https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178662129&doi=10.1016%2Fj.softx.2023.101589&partnerID=40&md5=f2f01d48ae83643ece709970e466d128https://gcris.yasar.edu.tr/handle/123456789/8372Electrocardiography (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. © 2023 Elsevier B.V. All rights reserved.EnglishData Preparation For Machine Learning, Ecg Annotation, Preprocessing, Electrocardiography, Graphical User Interfaces, Learning Algorithms, Matlab, Open Source Software, Artificial Intelligence Algorithms, Data Preparation, Data Preparation For Machine Learning, Electrocardiography Annotation, Health Professionals, Heart Disease, Indispensable Tools, Machine-learning, Preprocessing, User Friendly, Machine LearningElectrocardiography, Graphical user interfaces, Learning algorithms, MATLAB, Open source software, Artificial intelligence algorithms, Data preparation, Data preparation for machine learning, Electrocardiography annotation, Health professionals, Heart disease, Indispensable tools, Machine-learning, Preprocessing, User friendly, Machine learningArticle