A Deep Learning-Based Ultra-Lightweight Architecture for Atrial Fibrillation Detection Using Single-Lead ECG Recordings

Atrial fibrillation (A-Fib), a common cardiac arrhythmia, is linked to serious complications like heart failure and stroke, which early diagnosis could prevent. However, its paroxysmal and often asymptomatic nature complicates detection. In this paper, we propose a novel deep-learning model for sing...

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Hlavní autoři:	Abbas Khan, Muhammad Rizwan Mughal, Syed Ali Irtaza, Mohsin Khan, Madiha Tahir, Ahtisham Ali, Zoraize Saeed
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Atrial fibrillation ECG ultra-lightweight hybrid real-time
On-line přístup:	https://ieeexplore.ieee.org/document/10988612/
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