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dc.contributor.authorKalra, Aen_NZ
dc.contributor.authorLowe, A
dc.date.accessioned2020-06-12T02:16:43Z
dc.date.available2020-06-12T02:16:43Z
dc.identifier.citationModern Applied Science; Vol. 14, No. 8; 2020
dc.identifier.issn1913-1844en_NZ
dc.identifier.issn1913-1852en_NZ
dc.identifier.urihttp://hdl.handle.net/10292/13390
dc.description.abstractMotion artefact is the biggest concern in Electrocardiogram signals, especially when recording long-term measurements. Current studies fail to address the major source of motion artefact, which is skin stretch. This study utilizes two-dimensional strain fields as motion information in two advanced algorithms- Principal Component Analysis (PCA) and Independent Component Analysis (ICA). The strain fields were computed using point tracking and infinitesimal strain theory and a comparison of mean and median strains as motion information was made. The highest improvement in Signal to Noise ratio (SNR) was observed when the mean values of strain fields over a region of interest per ECG sample were taken as motion information in ICA. The lowest SNRs were obtained when PCA and ICA were implemented without any motion information.en_NZ
dc.publisherCanadian Center of Science and Educationen_NZ
dc.relation.urihttp://www.ccsenet.org/journal/index.php/mas/article/view/0/42840
dc.rightsCopyright for this article is retained by the author(s), with first publication rights granted to the journal. This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
dc.subjectElectrocardiogram; Principal Component Analysis; Independent Component Analysis; Skin-stretch
dc.titleUtilization of Mean and Median Strains in Principal and Independent Component Analysis to Remove Motion Artefact from Electrocardiography Signalsen_NZ
dc.typeJournal Article
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.5539/mas.v14n8p1en_NZ
aut.relation.endpage1
aut.relation.issue8en_NZ
aut.relation.startpage1
aut.relation.volume14en_NZ
pubs.elements-id378050
aut.relation.journalModern Applied Scienceen_NZ


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