JANOUŠEK, Oto, Jana KOLÁŘOVÁ, Marina RONZHINA, Marie NOVÁKOVÁ and Sridhar KRISHNAN. Suppression of Motion Artifacts in Optical Action Potential Records by Independent Component Analysis. In Computing in Cardiology. Krakow: Computing in Cardiology, 2012, p. 641-644. ISBN 978-1-4673-2074-0.
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Basic information
Original name Suppression of Motion Artifacts in Optical Action Potential Records by Independent Component Analysis
Authors JANOUŠEK, Oto (203 Czech Republic, guarantor), Jana KOLÁŘOVÁ (203 Czech Republic), Marina RONZHINA (203 Czech Republic), Marie NOVÁKOVÁ (203 Czech Republic, belonging to the institution) and Sridhar KRISHNAN (124 Canada).
Edition Krakow, Computing in Cardiology, p. 641-644, 4 pp. 2012.
Publisher Computing in Cardiology
Other information
Original language English
Type of outcome Proceedings paper
Field of Study Physiology
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14110/12:00057830
Organization Lékařská fakulta – Repository – Repository
ISBN 978-1-4673-2074-0
ISSN 2325-8861
UT WoS 000320270700161
Keywords in English Motion artifact; Independent Component Analysis; Optical recording; Voltage-sensitive dyes; di-4-ANEPPS; supression
Links GAP102/12/2034, research and development project. GD102/09/H083, research and development project. MUNI/A/0846/2011, interní kód Repo.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 1/9/2020 13:25.
Abstract
Optical signals reflect electrical changes in the heart; however, the presence of motion artifact (MA) complicates the evaluation. Possibility of MA suppression by independent component analysis (ICA) method is presented in this article with an analysis of ICA efficiency and its limitations. Suppression of MA by ICA method was compared with results obtained by state-of-the-art signal processing method, the ratio method. Based on this comparison, the ICA was found as highly precise and useful method for motion artifact removal. ICA seems to be a promising tool for analysis of optical signals recorded from the heart surface.
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Janousek.pdf Licence Creative Commons  File version 1/9/2020

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