Utilization of Mean and Median Strains in Principal and Independent Component Analysis to Remove Motion Artefact from Electrocardiography Signals
aut.relation.endpage | 1 | |
aut.relation.issue | 8 | en_NZ |
aut.relation.journal | Modern Applied Science | en_NZ |
aut.relation.startpage | 1 | |
aut.relation.volume | 14 | en_NZ |
aut.researcher | Kalra, Anubha | |
dc.contributor.author | Kalra, A | en_NZ |
dc.contributor.author | Lowe, A | |
dc.date.accessioned | 2020-06-12T02:16:43Z | |
dc.date.available | 2020-06-12T02:16:43Z | |
dc.description.abstract | Motion 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.identifier.citation | Modern Applied Science; Vol. 14, No. 8; 2020 | |
dc.identifier.doi | 10.5539/mas.v14n8p1 | en_NZ |
dc.identifier.issn | 1913-1844 | en_NZ |
dc.identifier.issn | 1913-1852 | en_NZ |
dc.identifier.uri | https://hdl.handle.net/10292/13390 | |
dc.publisher | Canadian Center of Science and Education | en_NZ |
dc.relation.uri | http://www.ccsenet.org/journal/index.php/mas/article/view/0/42840 | |
dc.rights | Copyright 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.rights.accessrights | OpenAccess | en_NZ |
dc.subject | Electrocardiogram; Principal Component Analysis; Independent Component Analysis; Skin-stretch | |
dc.title | Utilization of Mean and Median Strains in Principal and Independent Component Analysis to Remove Motion Artefact from Electrocardiography Signals | en_NZ |
dc.type | Journal Article | |
pubs.elements-id | 378050 | |
pubs.organisational-data | /AUT | |
pubs.organisational-data | /AUT/Design & Creative Technologies | |
pubs.organisational-data | /AUT/Design & Creative Technologies/Engineering, Computer & Mathematical Sciences | |
pubs.organisational-data | /AUT/PBRF | |
pubs.organisational-data | /AUT/PBRF/PBRF Design and Creative Technologies | |
pubs.organisational-data | /AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS |
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