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dc.contributor.authorMohamed, Kharrat
dc.contributor.authorWakuda, Yuki
dc.contributor.authorKobayashi, Shinsuke
dc.contributor.authorKoshizuka, Noboru
dc.contributor.authorSakamura, Ken
dc.date.accessioned2012-10-18T07:50:30Z
dc.date.available2012-10-18T07:50:30Z
dc.date.issued2012-02-27
dc.identifier.citationp. 466-469en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179060
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21402
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectWeight Factor Mode (WFM)en_US
dc.subjectEnsemble Empirical Mode Decomposition (EEMD)en_US
dc.subjectHeart Rate Moniteringen_US
dc.titleEvaluation of Weight Factor Mode and EEMD performance on measuring heart rate activity in the presence of cardiac arrhythmiaen_US
dc.typeWorking Paperen_US
dc.contributor.urlmohamed@sakamura-lab.oren_US
dc.contributor.urlwakuda@sakamura-lab.oren_US
dc.contributor.urlKobayashi@sakamura-lab.oren_US
dc.contributor.urlkoshizuka@sakamura-lab.oren_US
dc.contributor.urlken@sakamura-lab.oren_US


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