Title :
Evaluation of Weight Factor Mode and EEMD performance on measuring heart rate activity in the presence of cardiac arrhythmia
Author :
Kharrat, Mohamed ; Wakuda, Yuki ; Kobayashi, Shinsuke ; Koshizuka, Noboru ; Sakamura, Ken
Author_Institution :
Grad. Sch. of Interdiscipl. Inf. Studies, Univ. of Tokyo, Tokyo, Japan
Abstract :
In this work we aim at evaluating the performance of our previously proposed method Weight Factor Mode (WFM), which is based on Ensemble Empirical Mode Decomposition (EEMD), in the case of cardiac arrhythmia. For this, we have used MIT-BIH Arrhythmia ECG database. Obtained results show high sensitivity detecting the heart rate activity (99.5%). We also found that, in order to achieve highest success rates, WFM requires manual selection of weight factors for each sample.
Keywords :
Hilbert transforms; electrocardiography; medical disorders; medical signal processing; EEMD performance; MIT-BIH arrhythmia ECG database; WFM; cardiac arrhythmia; ensemble empirical mode decomposition; heart rate activity measurement; weight factor mode evaluation; Biomedical measurements; Data analysis; Electrocardiography; Heart rate; Monitoring; Sensitivity; Ensemble Empirical Mode Decomposition (EEMD); Heart Rate Monitering; Weight Factor Mode (WFM);
Conference_Titel :
Biomedical Engineering (ICoBE), 2012 International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1990-5
DOI :
10.1109/ICoBE.2012.6179060
