An Algorithm for Evaluating the ECG Signal Quality in 12 Lead ECG Monitoring System

被引：0
|
作者：
Zhang, Yue [1 ]
Hou, Zhongjie [1 ]
机构：
[1] Tsinghua Univ, Grad Sch Shenzhen, Lab Embedded Syst & Technol, Shenzhen, Peoples R China
来源：
PROCEEDINGS OF 2015 6TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE | 2015年
关键词：
ECG signal quality evaluation; lead-off detection; heart rate; spectral distribution ratio; neural network; 12-lead ECG;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
ECG signal quality is of great importance to real-time electrocardiogram(ECG) monitoring system. The paper introduces a new algorithm to evaluate the ECG signal quality. This algorithm is based on three features: heart rate score, spectral distribution ratio, and the variance between 12-lead ECG data. The result show that the proposed algorithm has a high Sensitivity of 95%, Specificity of 86.7%, and the Accuracy is 93.1%. The new algorithm is fast, accurate and reliable, showing strong potential to be applied in real-time ECG monitoring system.
引用
收藏
页码：453 / 456
页数：4
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