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

• Published in: IEEE access Vol. 12; pp. 143149 - 143162
• Main Authors: Mahim, S. M., Emamul Hossen, Md, Al Hasan, Shakib, Islam, Md Khairul, Iqbal, Zafar, Alibakhshikenari, Mohammad, Collotta, Mario, Miah, Md Sipon
• Format: Journal Article
• Language: English
• Published: IEEE 2024
• Subjects: Accuracy; Arrhythmia; Atrial fibrillation; Data models; Deep learning; detection algorithms; Electrocardiography; Feature extraction; Heart beat; Medical services; Signal detection; TransMixer-AF

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...