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

fYear

2012

Firstpage

466

Lastpage

469

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering (ICoBE), 2012 International Conference on

Conference_Location

Penang

Print_ISBN

978-1-4577-1990-5

Type

conf

DOI

10.1109/ICoBE.2012.6179060

Filename

6179060