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人工智能心电分析技术在心律失常诊断中的应用研究进展

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我国心血管疾病的患病率不断攀升,因此对心律失常的精准诊治显得尤为关键,而心电图检查是诊断心律失常的主要依据。如今人工智能心电分析技术为提高临床诊治心律失常的效率和准确性带来了新的可能。本文梳理了国内外人工智能心电分析技术及其应用的最新进展,同时对该技术在心律失常诊断方面的前景和挑战进行了综述。
Research progress in the application of artificial intelligence ECG analysis technology for arrhythmia diagnosis
The prevalence rate of cardiovascular diseases in China has been increasing,therefore the precise diagnosis and treatment of arrhythmias is particularly critical.ECG examination is the main basis for the diagnosis of arrhythmias.At present,artificial intelligence ECG analysis technology has brought new possibilities to improve the efficiency and accuracy of clinical diagnosis and treatment of arrhythmias.This paper reviews the latest progress in the application of artificial intelligence ECG analysis technology at home and abroad,and summarizes the prospects and challenges of the technology in the diagnosis of arrhythmias.

artificial intelligenceECG analysis technologyarrhythmiaECG diagnosis

杨柳青青、蔡於馨、方婕、沈晨希、努西旦木·努拉合买提、范平

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830001 新疆乌鲁木齐,新疆医科大学第一临床医学院

830002 新疆乌鲁木齐,新疆医科大学第一附属医院心功能科

人工智能 心电分析技术 心律失常 心电图诊断

新疆医科大学大学生创新训练计划项目新疆维吾尔自治区产学合作协同育人项目新疆维吾尔自治区区域协同创新专项(科技援疆计划)项目

X2023107601262022E02111

2024

实用心电学杂志
江苏大学

实用心电学杂志

影响因子:0.648
ISSN:2095-9354
年,卷(期):2024.33(5)