LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification

Author:

Le Khiem H.ORCID,Pham Hieu H.,Nguyen Thao B.T.,Nguyen Tu A.,Thanh Tien N.,Do Cuong D.ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference68 articles.

1. Electrocardiography;Wikipedia,2020

2. Classification of 12-lead ECGs: The PhysioNet/Computing in cardiology challenge 2020;Alday;Physiol. Meas.,2020

3. Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems;Park;Comput. Methods Programs Biomed.,2022

4. Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review;Hong;Comput. Biol. Med.,2020

5. ECG holter monitor with alert system and mobile application;Teron,2016

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