Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning
Technologies, Vol. 13, No. 1, Article 34
Editorial summary
An ECG pipeline locates R-peaks, classifies three consecutive cardiac cycles with a modified CNN and explains predictions through clinically meaningful features. Evaluation on MIT-BIH measures arrhythmia classification performance. The reported accuracy describes this dataset evaluation, rather than prospective clinical performance.
Bibliographic reference
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Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak. "Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning". Technologies, Vol. 13, No. 1, Article 34, 2025. https://doi.org/10.3390/technologies13010034
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