Title :
Real-time base-line drift correction and P-wave detection of ECG signal
Author :
Zhou, Li-Gao ; Li, Hui-jun ; Hu, Ouang-shu
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
Baseline drift cancellation is discussed in relation to ECG wave recognition, especially for P-wave detection. According to the requirements of real-time ECG monitoring, a segmenting cubic function technique and a segmenting parabola technique, which can be conveniently used for baseline drift correction, were used, obtaining good results. An adaptive dual-threshold is presented for P-wave detection and location. The results of 34 normal and arrhythmia cases indicated that the P-wave correct detection rate and the P-R interval correspondence rate were 92.6% and 87%, respectively
Keywords :
electrocardiography; signal processing; ECG signal; P-R interval correspondence rate; P-wave detection; adaptive dual-threshold; real-time ECG monitoring; real-time base-line drift correction; segmenting cubic function technique; segmenting parabola technique; Computer errors; Content addressable storage; Electrocardiography; Engineering in medicine and biology; Error correction; Filtering; Interpolation; Signal detection; Societies; Sun;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95565
