Software solution for electrocardiogram storage and analysis

• Veröffentlicht in: PROBLEMS IN PROGRAMMING
• Datum: 2025
• Heft: 4
• Сторінки: 43-50
• ISSN: 1727-4907
• Автори та афіліації: M.S. Yefremov — Kiev Taras Shevchenko National University; Yu.V. Krak — Kiev Taras Shevchenko National University — ORCID: 0000-0002-8043-0785
• Ключові слова: програмні рішення, оброблення даних, формат даних, обробка даних, електрона база даних, електрокардіограма, оброблення сигналів, оброблення текстових даних, алгоритми та структури даних, обробка сигналів
• Hauptverfasser: Yefremov, M.S., Krak, Yu.V.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2025
• Schlagworte: electrocardiogram; signal processing; software solutions; database; data formats; UDC 004.4'24
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/673
• Назва журналу: Problems in programming

Software solutions for medical and healthcare fields are becoming increasingly popular due to advancements in information technology. Over the past decades peak detection algorithms as well as detection of other segments on ECG, arrhythmias detection and other pathologies detection algorithms achieved significant accuracy. This study proposes an approach for integrating such algorithms into a unified systems by developing a software solution that analyzes available ECGs from various sources, standardizes them into a common format, and provides detailed reporting that is easily understandable for medical experts or patients. The implementation is carried out as a web application that can provide users with information about cardiograms, process ECGs depending on the integrated algorithms, store necessary ECG segments, diagnostic results, and more. The system incorporates a newly developed algorithm for detecting R-peaks and visualizing ECG signals processed by the algorithm with annotations obtained both automatically and with the participation of cardiology specialists.Prombles in programming 2024; 4: 43-50