Title :
The Algorithm of R Peak Detection in ECG Based on Empirical Mode Decomposition
Author :
Tang, Jing-tian ; Yang, Xiao-li ; Xu, Jun-chao ; Tang, Yan ; Zou, Qing ; Zhang, Xiao-kai
Author_Institution :
Inst. of Biomed. Eng., Central South Univ., Changsha
Abstract :
A novel automatic R peak detection algorithm that is based on EMD (empirical mode decomposition) and adaptive threshold technique is presented. The R peaks are then identified by computing the first threshold and applying a set of adaptive thresholds that are not limited to a strict range. The proposed algorithm was able to detect R peak with high sensitivity when compared to other algorithms used in Physionet ECG database. Additionally, the new algorithm can successfully detect R peak for a wide variety of ECG shapes.
Keywords :
electrocardiography; medical signal detection; medical signal processing; ECG; adaptive threshold; automatic R peak detection; empirical mode decomposition; Biomedical computing; Biomedical engineering; Cardiac disease; Cardiovascular diseases; Databases; Detection algorithms; Electrocardiography; Hospitals; Shape; Tumors;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.337