临床荟萃
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摘要: 心电图是临床上最为常见的检查方法,它无创、简便、快速且价格低廉,在临床应用广泛。然而,传统心电图报告方式为心电医师和技师依靠手工测量、分析心电图,出具报告,速度慢、工作效率低,测量数据偏差较大,影响了心电图报告的可靠性和准确性。随着人工智能的逐渐普及,心电图智能分析的重要性亦逐渐凸显。心电图智能分析利用计算机分析心电图, 测量必要的参数, 再根据临床标准作出正确的诊断或评价,减少了医生的工作量,提高了临床指标分析的精度。本文就心电图智能分析的发展背景、现状及展望进行综述。
关键词: 心电描记术, 诊断
Abstract: Electrocardiogram (ECG) is one of the most common method in clinic. It is noninvasive, simple, rapid and cheap and has been widely used in clinic. However, the traditional ECG reporting method mainly relies on the manual measurement of electrocardiologists and technicians to analyze ECG and issue reports, which can not get rid of slow speed, low working efficiency and large deviation of measured data, affecting the reliability and accuracy of ECG reports. With the popularization of artificial intelligence, the importance of intelligent ECG analysis is increasingly important. ECG intelligence analysis uses computer to analyze ECG, measure necessary parameters, and then make correct diagnosis or evaluation according to clinical standard. It can reduce the workload of doctors and improve the accuracy of clinical index analysis. In this paper, the development background, present situation and prospect of intelligent analysis of ECG are reviewed.
Key words: electrocardiography, diagnosis
卢喜烈. 心电图智能分析-助力精准医疗新时代[J]. 临床荟萃, doi: 10.3969/j.issn.1004-583X.2018.12.002.
Lu Xilie. Intelligent analysis of electrocardiogram: a new era of assisted precision medical treatment[J]. Clinical Focus, doi: 10.3969/j.issn.1004-583X.2018.12.002.
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链接本文: https://huicui.hebmu.edu.cn/CN/10.3969/j.issn.1004-583X.2018.12.002
https://huicui.hebmu.edu.cn/CN/Y2018/V33/I12/1016