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dc.contributor.authorLauder, Brent
dc.contributor.authorSchwerin, Belinda
dc.contributor.authorMcConnell, Meghan
dc.contributor.authorSo, Stephen
dc.date.accessioned2020-03-04T06:07:31Z
dc.date.available2020-03-04T06:07:31Z
dc.date.issued2019
dc.identifier.isbn978-1-7281-2194-9
dc.identifier.doi10.1109/ICSPCS47537.2019.9008758
dc.identifier.urihttp://hdl.handle.net/10072/392102
dc.description.abstractThe presence of noise in an electrocardiogram (ECG) signal is detrimental to the accuracy of R-peak detection for the purpose of heart rate variability (HRV) computation. Electrode motion noise in particular is adverse to the continued development of many beneficial technologies involving noise robust ECG fiducial marker detection algorithms, specifically for mobile acquisition devices. This paper proposes a novel technique for R-peak detection utilising dynamic time warping (DTW) with improved tolerance to electrode motion noise compared with that of established techniques. The MIT/BIH Arrhythmia Public Database was used in the experiments, with several added SNR levels of noise ranging from -10dB to 20dB. Metric evaluation indicates the DTW detection algorithm exhibiting favourable performance in comparison to established techniques for SNR levels below 10dB with a sensitivity of 95.93% and positive predictability of 91.73%. Performance degradation due to increased noise power is similarly favourable to the DTW detection technique in comparison to benchmarks, indicating the noise robust capability. The technique also has merit as a viable competitor for QRS detection in non-noisy ECG signals, with a sensitivity of 97.21% and positive predictability of 94.46% on the clean dataset.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencename13th International Conference on Signal Processing and Communication Systems (ICSPCS 2019)
dc.relation.ispartofconferencetitle2019, 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Proceedings
dc.relation.ispartofdatefrom2019-12-16
dc.relation.ispartofdateto2019-12-18
dc.relation.ispartoflocationGold Coast, Australia
dc.subject.fieldofresearchSignal Processing
dc.subject.fieldofresearchBiomedical Engineering not elsewhere classified
dc.subject.fieldofresearchcode090609
dc.subject.fieldofresearchcode090399
dc.titleUsing Dynamic Time Warping for Noise Robust ECG R-peak Detection
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationLauder, B; Schwerin, B; McConnell, M; So, S, Using Dynamic Time Warping for Noise Robust ECG R-peak Detection, 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS), 2019
dc.date.updated2020-02-03T02:12:28Z
gro.hasfulltextNo Full Text
gro.griffith.authorSo, Stephen
gro.griffith.authorLauder, Brent A.
gro.griffith.authorSchwerin, Belinda M.
gro.griffith.authorMcConnell, Meg


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    Contains papers delivered by Griffith authors at national and international conferences.

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