Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review-Reference-Cited by-同舟云学术

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Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review

Published:2021-02 Issue: Volume:39 Page:100334
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Matias Igor^ORCID,Garcia Nuno,Pirbhulal Sandeep,Felizardo Virginie^ORCID,Pombo Nuno,Zacarias Henriques,Sousa Miguel^ORCID,Zdravevski Eftim^ORCID

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference40 articles.

1. Atrial fibrillation in patients with cryptogenic stroke;Gladstone;New. Engl. J. Med.,2014

2. Cryptogenic stroke and underlying atrial fibrillation;Sanna;New. Engl. J. Med.,2014

3. Atrial fibrillation - Symptoms and causes - Mayo Clinic;Mayo Clinic,2019

4. Electrocardiogram (ECG or EKG) - Mayo Clinic;Mayo Clinic Staff,2018

5. Towards a fully automated bracelet for health emergency solution;Matias,2018

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3. A novel atrial fibrillation automatic detection algorithm based on ensemble learning and multi-feature discrimination;Medical & Biological Engineering & Computing;2024-02-23

4. Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023);WIREs Data Mining and Knowledge Discovery;2024-02-04

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