Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care.

Journal: BMC primary care
PMID: 39033295

Abstract

BACKGROUND: Atrial fibrillation (AF) is highly correlated with heart failure, stroke and death. Screening increases AF detection and facilitates the early adoption of comprehensive intervention. Long-term wearable devices have become increasingly popular for AF screening in primary care. However, interpreting data obtained by long-term wearable ECG devices is a problem in primary care. To diagnose the disease quickly and accurately, we aimed to build AF episode detection model based on a nonlinear Lorenz scattergram (LS) and deep learning.

Authors

  • Yi Yao
    School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Yu Jia
    School of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610075, China. Electronic address: 285297563@qq.com.
  • Miaomiao Wu
    Institute of Plant Protection, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Beijing 100193, China.
  • Songzhu Wang
    General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
  • Haiqi Song
    General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
  • Xiang Fang
    Sheldon B. Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • Xiaoyang Liao
    General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
  • Dongze Li
    Department of Emergency Medicine and Laboratory of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China. lidongze@wchscu.cn.
  • Qian Zhao
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

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