MM-GradCAM: an improved multimodal GradCAM method with 1D and 2D ECG data for detection of cardiac arrhythmia

Abstract As cardiac arrhythmia remains one of the leading causes of death worldwide, early and accurate diagnosis of cardiac arrhythmia is critical to improving patient outcomes. Electrocardiogram (ECG) analysis plays a critical role in the diagnosis of these diseases, and recent advances in deep le...

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Hlavní autoři:	Fatma Murat Duranay, Ender Murat, Özal Yıldırım, Yakup Demir, Ru-San Tan, Niranjana Sampathila, U. Rajendra Acharya
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-02-01
Edice:	Scientific Reports
Témata:	ECG classification GradCAM Explainable AI (XAI) Cardiac disorders
On-line přístup:	https://doi.org/10.1038/s41598-026-38654-w
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