Detection of life-threatening arrhythmias using an artificial intelligence-based method

被引：0
|
作者：
Nemirko, A. P. [1 ]
Manilo, L. A. [1 ]
Semenova, E. A. [1 ]
Evdakova, E. G. [2 ]
机构：
[1] V I Ulyanov Lenin St Petersburg State Electrotech, Dept Biotech Syst, St Petersburg, Russia
[2] VI Ulyanov Lenin St Petersburg State Electrotech U, St Petersburg, Russia
来源：
BIOMEDICAL ENGINEERING | 2024年 / 58卷 / 04期
基金：
俄罗斯科学基金会;
关键词：
IDENTIFICATION;
D O I：
10.1007/s10527-024-10414-y
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A novel method for detecting life-threatening cardiac arrhythmias using electrocardiograms and artificial intelligence algorithms is proposed. A list of dangerous arrhythmias and their structures was defined, the corresponding database was compiled, and the effectiveness of the proposed algorithms was studied. The results obtained here demonstrate the high efficiency of the present approach as compared with previously published approaches. The results reported here may be useful in creating effective algorithmic support for operational analysis of electrocardiograms for heart monitoring systems.
引用
收藏
页码：272 / 275
页数：4
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