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Principal component analysis of differential electrocardiographic leads - A contribution to the synthesis of ECGs
Jožef Stefan Institute, Ljubljana, Slovenia.
Jožef Stefan Institute, Ljubljana, Slovenia.
Department of Electronic Systems and Information Processing, Zagreb, Croatia.
2013 (English)In: IFMBE Proceedings, Volume 42, 2013, Vol. 42, 260-263 p.Conference paper, Published paper (Refereed)
Abstract [en]

The principal component analysis (PCA) is applied on juxtaposed average beats of unipolar and differential leads (DLs), obtained from 35-lead multichannel ECGs, for assessing proportions of cardiac electrical activity variance that the leads measure. It was shown that 93% of the total 35- lead measured variance can be explained by the first three principal components (PCs). An analysis of correlations between the ECG leads and thefirst three PCs shows that the leads employing electrodes further to the heart pick up less of the total ECG variance. It was also demonstrated that DLs with highest correlations to the first three PCs, coincide with the universal DLs selected by our previously published ECG synthesis algorithm: BDLSA. This enables the application of the PCA in the selection of optimal DLs combinations for the ECG synthesis. 

Place, publisher, year, edition, pages
2013. Vol. 42, 260-263 p.
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:mdh:diva-30488DOI: 10.1007/978-3-319-03005-0_66Scopus ID: 2-s2.0-84927649061ISBN: 9783319030043 (print)OAI: oai:DiVA.org:mdh-30488DiVA: diva2:888139
Conference
ICHI: International Federation of Medical and Biological Engineering Proceedings ICHI: IFMBE Proc, 7-9 Nov 2013, Vilamoura, Portugal
Projects
ESS-H - Embedded Sensor Systems for Health Research Profile
Available from: 2015-12-22 Created: 2015-12-21 Last updated: 2015-12-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • fi-FI
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  • nn-NB
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