Semi-Supervised Learning for Automatic Atrial Fibrillation Detection in 24-Hour Holter Monitoring-Reference-Cited by-同舟云学术

Semi-Supervised Learning for Automatic Atrial Fibrillation Detection in 24-Hour Holter Monitoring

Published:2022-08 Issue:8 Volume:26 Page:3791-3801
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhang Peng¹^ORCID,Chen Yuting¹,Lin Fan²^ORCID,Wu Sifan¹,Yang Xiaoyun²^ORCID,Li Qiang¹^ORCID

Affiliation:

1. Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China

2. Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China

Funder

National Natural Science Foundation of China

Science Fund for Creative Research Group of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9855434/09772345.pdf?arnumber=9772345

Reference54 articles.

1. Regularization with stochastic transformations and perturbations for deep semi-supervised learning;sajjadi;Adv Neural Inf Process Syst,2016

2. Poincaré Plot Image and Rhythm-Specific Atlas for Atrial Bigeminy and Atrial Fibrillation Detection