摘要
心房颤动(简称房颤)是最常见的心律失常,并可能引起多种并发症,因此需要借助精准医学方法来识别和加强房颤检测,从而实现及早诊断和治疗。基于人工智能的可穿戴设备对房颤患者的筛查与管理具有重要价值,本文综述了近年来这类设备应用于房颤筛查的相关文献。
Atrial fibrillation(AF)is the most common arrhythmia and may easily lead to various complications.Therefore,precision medical methods are needed to identify and enhance AF detection to achieve early diagnosis and treatment.Artificial intelligence-based wearable devices are of great value for the screening and management of AF patients.This article reviews the relevant literature on recent applications of such devices for AF screening.
作者
穆耶赛尔·麦麦提明
刘惠娟
王芳丽
冯艳
MAIMAITIMING Muyesaier;LIU Huijuan;WANG Fangli;FENG Yan(Department of Electrocardiology,Xinjiang Uygur Autonomous Region Peoples Hospital,Urumqi Xinjiang 830001,China)
出处
《实用心电学杂志》
2024年第2期191-194,共4页
Journal of Practical Electrocardiology
基金
新疆维吾尔自治区科技支疆项目(2021E02051)。
关键词
心房颤动
人工智能
深度学习
卷积神经网络
可穿戴设备
atrial fibrillation
artificial intelligence
deep learning
convolutional neural network
wearable device
