Noninvasive study of the human heart using independent component analysis

Yi Zhu*, Tong Lee Chen, 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

5 Scopus citations

Abstract

We have developed a new approach to studying human heart activity using independent component analysis. The electrocardiogram (ECG) is an important tool in diagnosis of heart disease. However, the normal 12-lead ECG can only record limited aspects of heart's electrical signals and mostly their interpretation relies on trained and experienced medical doctors. We have performed experiments in which heart signals were recorded in high spatial resolution. Independent component analysis was applied to the recorded signals to separate distinct temporal components of the recorded signals. The separated components were further analyzed by back-projecting their activities to the surface montage to examine each component's property. Experimental results show this to be a promising approach that can be extended to build more detailed heart activity simulations.

Original languageEnglish
Title of host publicationProceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006
Pages340-347
Number of pages8
DOIs
StatePublished - 2006
Event6th IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006 - Arlington, VA, United States
Duration: 16 Oct 200618 Oct 2006

Publication series

NameProceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006

Conference

Conference6th IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006
CountryUnited States
CityArlington, VA
Period16/10/0618/10/06

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