Deep Learning Based Atrial Fibrillation Detection Using Combination of Dimensionality Reduction Techniques and RR Interval Features

Deep Learning Based Atrial Fibrillation Detection Using Combination of Dimensionality Reduction Techniques and RR Interval Features

Purpose: Accurate detection of Atrial Fibrillation (AF) has great significance in the field of medical science which can reduce the rate of mortality and morbidity. The present study focuses on Electrocardiography (ECG) signal classification using dimensionality reduction techniques combined with R...

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Bibliographic Details
Main Authors: Shrikanth Rao S.K, Roshan Joy Martis
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2024-10-01
Series:Frontiers in Biomedical Technologies
Subjects:
Atrial Fibrillation
Electrocardiography
Discrete Wavelet Transform
Long Short Term Memory
Support Vector Machine
Decision Tree
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/544

Internet

https://fbt.tums.ac.ir/index.php/fbt/article/view/544

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