生物医学工程研究2024，Vol.43Issue(3)：214-222,9.DOI:10.19529/j.cnki.1672-6278.2024.03.06
基于自适应参数的心电压缩方法研究
Research on ECG compression method based on adaptive parameter
林钰洁 1王星尧 1陈超 1李建清 1刘澄玉1
作者信息
- 1. 东南大学 仪器科学与工程学院,数字医学工程全国重点实验室,南京 210096
- 折叠
摘要
Abstract
In order to explore an electrocardiograph(ECG)compression method available for clinical diagnosis with high compres-sion ratio,the adaptive parameter optimal searcher was proposed to locate the parameters with good compression performance for ECG compression.A set of parameters applicable to all ECG signals was recommended for the universality of the algorithm,and the compres-sion performance was estimated by four indicators on the MIT-BIH database.The experimental results showed that the average compres-sion ratio(CR)was 26.67,the average percentage root-mean-square difference(PRD)was 14.64%,and the average compression time of 30 min ECG was 0.125 8 s.The results elucidate that the improved compression algorithm has outstanding performance in compres-sion ratio as well as application significance in clinical diagnosis.关键词
心电信号/心电压缩/参数自适应/穿戴式心电Key words
Electrocardiograph/ECG compression/Adaptive parameter/Wearable ECG分类
医药卫生引用本文复制引用
林钰洁,王星尧,陈超,李建清,刘澄玉..基于自适应参数的心电压缩方法研究[J].生物医学工程研究,2024,43(3):214-222,9.
