TransMixer-AF: Advanced Real-Time Detection of Atrial Fibrillation Utilizing Single-Lead Electrocardiogram Signals

Atrial Fibrillation (AF) is a prevalent cardiac arrhythmia that carries an increased risk of stroke and heart failure. The manual interpretation of Electrocardiograms (ECGs) for diagnosing AF is time-consuming and subject to observer variability. Deep Learning (DL) techniques offer a promising solut...

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Bibliografische Detailangaben

Hauptverfasser:	S. M. Mahim, Md Emamul Hossen, Shakib Al Hasan, Md Khairul Islam, Zafar Iqbal, Mohammad Alibakhshikenari, Mario Collotta, Md Sipon Miah
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Atrial fibrillation deep learning TransMixer-AF detection algorithms signal detection
Online-Zugang:	https://ieeexplore.ieee.org/document/10689527/
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