基于人工智能的可穿戴设备在心房颤动筛查中的应用
Application of artificial intelligence-based wearable devices in screening atrial fibrillation
穆耶赛尔·麦麦提明 1刘惠娟 1王芳丽 1冯艳1
作者信息
- 1. 830001 新疆乌鲁木齐,新疆维吾尔自治区人民医院心电学科
- 折叠
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.
Abstract
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.
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Key words
atrial fibrillation/artificial intelligence/deep learning/convolutional neural network/wearable device引用本文复制引用
基金项目
新疆维吾尔自治区科技支疆项目(2021E02051)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据