Removal of ballistocardiogram artifact from electroencephalograms exploiting heart rate variability

A. Kosma, K. Nazarpour, S. Sanei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An approach for eliminating the cardiac pulsation (ballistocardiogram, BCG) effect from electroencephalograms (EEG) is proposed. The artifact results from functional magnetic resonance imaging (fMRI) scanner during simultaneous EEG-fMRI recordings. The BCG artifact exhibits similar periodic physiological structure. The proposed blind source extraction (BSE) algorithm employs second order statistics to exploit the heart rate variability and focuses on the contaminated EEG segments. This method is compared with some previously developed, well-known algorithms such as FastICA, SOBI and JADE, and a qualitative comparison is given. The methods are examined for both synthetic and real data.
Original languageEnglish
Title of host publication2009 16th International Conference on Digital Signal Processing
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Print)978-1-4244-3297-4
DOIs
Publication statusPublished - 18 Aug 2009
Event16th International Conference on Digital Signal Processing - Santorini, Greece
Duration: 5 Jul 20097 Jul 2009

Publication series

Name
PublisherIEEE
ISSN (Print)1546-1874
ISSN (Electronic)2165-3577

Conference

Conference16th International Conference on Digital Signal Processing
Abbreviated titleDSP 2009
CountryGreece
CitySantorini
Period5/07/097/07/09

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