Title :
An algorithm for evaluating the ECG signal quality in 12 lead ECG monitoring system
Author :
Yue Zhang;Zhongjie Hou
Author_Institution :
Laboratory of Embedded Systems and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
Abstract :
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.
Keywords :
"Electrocardiography","Heart rate","Lead","Accuracy","Monitoring","Neural networks","Feature extraction"
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
Print_ISBN :
978-1-4799-8352-0
Electronic_ISBN :
2327-0594
DOI :
10.1109/ICSESS.2015.7339095
