Spatial density reduction in the study of the ECG signal using independent component analysis

Amirali Shayan Arani*, Yi Zhu, Wanping Zhang, Tzyy Ping Jung, Jeng Ren Duann, Scott Makeig, Chung Kuan Cheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Conventional 12-lead ECG can only record limited aspects of the heart electrical signals. Previously, an approach for the analysis of the ECG signal using high spatial resolution over 101 or 75 channels on the chest and back of the subject for recording the heart signal has been proposed by Zhu et al [3]. They decomposed the original signals into distinct temporal source components by applying independent component analysis. In the current work, we reduce the number of recording channels to 24 and 12 while still able to decompose the ECG signals into similar source components. In addition, we propose a method to estimate the source components dipoles based on the Nelder-Mead simplex method. This approach facilitates the feasibility of the ICA study on the patients with moderate spatial resolution, since it requires significantly fewer leads for recording and easier diagnosis setup.

Original languageEnglish
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages5497-5500
Number of pages4
DOIs
StatePublished - 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: 23 Aug 200726 Aug 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Conference

Conference29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
CountryFrance
CityLyon
Period23/08/0726/08/07

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