Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21402
Title: Evaluation of Weight Factor Mode and EEMD performance on measuring heart rate activity in the presence of cardiac arrhythmia
Authors: Mohamed, Kharrat
Wakuda, Yuki
Kobayashi, Shinsuke
Koshizuka, Noboru
Sakamura, Ken
mohamed@sakamura-lab.or
wakuda@sakamura-lab.or
Kobayashi@sakamura-lab.or
koshizuka@sakamura-lab.or
ken@sakamura-lab.or
Keywords: Weight Factor Mode (WFM)
Ensemble Empirical Mode Decomposition (EEMD)
Heart Rate Monitering
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 466-469
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
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.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179060
http://dspace.unimap.edu.my/123456789/21402
ISBN: 978-145771989-9
Appears in Collections:Conference Papers

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