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A canonical correlation approach to heart beat detection in textile ECG measurements
Linköping University, Linköping, Sweden.
Linköping University, Linköping, Sweden.
University College of Borås, Borås, Sweden .
Mälardalen University, Department of Computer Science and Electronics.ORCID iD: 0000-0003-1940-1747
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2006 (English)In: IET Conference Publications, Issue 520, 2006Conference paper, Published paper (Refereed)
Abstract [en]

Research in textile sensors has lead to new ways to measure electrocardiograms (ECG). However, additional disturbances from, for example, muscular noise and high skin-electrode impedances often result in poor signal quality. The paper contains a simple application of canonical correlation analysis (CCA) on multi channel ECG signals recorded with textile electrodes. Using CCA to solve the blind source separation (BSS) problem, we intend to separate the ECG signal from the various noise sources. The method (CCABSS) was compared to simple averaging of the ECG channels and to the independent component analysis method (ICA). A heart beat detector was used to evaluate the signal quality. Results show that the signal was completely lost while simulating various noise in 33%, 17% and 7% of the cases for averaging, ICA and CCA, respectively.

Place, publisher, year, edition, pages
2006.
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-6982DOI: 10.1049/cp:20060374Scopus ID: 2-s2.0-34047155665ISBN: 0863416586 (print)OAI: oai:DiVA.org:mdh-6982DiVA, id: diva2:236992
Conference
IET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing; Glasgow; United Kingdom; 17 July 2006 through 19 July 2006
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2015-09-15Bibliographically approved

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Lindén, Maria

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