Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning

Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning

Cardiovascular diseases are the leading cause of death globally, highlighting the need for accurate diagnostic tools. To address this issue, we introduce a novel approach for arrhythmia detection based on electrocardiogram (ECG) that incorporates explainable artificial intelligence through three key...

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Bibliographic Details
Main Authors: Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Technologies
Subjects:
electrocardiography (ECG)
arrhythmia detection
ECG classification
ECG interpretation
explainable artificial intelligence (XAI)
transparent artificial intelligence
Online Access:https://www.mdpi.com/2227-7080/13/1/34
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