Build a bridge between ECG and EEG signals for atrial fibrillation diagnosis using AI methods-Reference-Cited by-同舟云学术

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Build a bridge between ECG and EEG signals for atrial fibrillation diagnosis using AI methods

Published:2023-11 Issue: Volume:166 Page:107429
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Li Moqing,Zeng Xinhua^ORCID,Wu Feng,Chu Yang,Wei Weiguo,Fan Min,Pang Chengxin,Hu Xing

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference40 articles.

1. Effectiveness of screening for atrial fibrillation and its determinants. A meta-analysis;Petryszyn;PLoS One,2019

2. Independent risk factors for atrial fibrillation in a population-based CohortThe Framingham heart study;Benjamin;JAMA,1994

3. World heart federation roadmap on atrial fibrillation – A 2020 update;Freedman;Glob. Heart,2021

4. Stratifying stroke risk in atrial fibrillation: Beyond clinical risk scores;Yaghi S;Stroke,2017

5. Frequency of atrial fibrillation and its complication;Haadi;Pak. J. Med. Health Sci.,2021

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