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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主要な著者:	Fatma Murat Duranay, Ender Murat, Özal Yıldırım, Yakup Demir, Ru-San Tan, Niranjana Sampathila, U. Rajendra Acharya
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2026-02-01
シリーズ:	Scientific Reports
主題:	ECG classification GradCAM Explainable AI (XAI) Cardiac disorders
オンライン･アクセス:	https://doi.org/10.1038/s41598-026-38654-w
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