Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder

Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder

Abstract Sudden cardiac arrest among young people is a recent worldwide risk, and it is noticed that people with cardiac arrhythmia are more susceptible to various heart diseases. Manual classification can be error-prone, and certainly, there is a need for automation to classify ECG signals to predi...

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Bibliographic Details
Main Authors: Ameet Shah, Dhanpratap Singh, Heba G. Mohamed, Salil Bharany, Ateeq Ur Rehman, Seada Hussen
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Cardiac arrhythmia
Self-attention mechanism
Atrial fibrillation
Deep learning classification
Artificial intelligence
Prediction
Online Access:https://doi.org/10.1038/s41598-025-93906-5
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https://doi.org/10.1038/s41598-025-93906-5

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