R Sameni et al 2008 Physiol. Meas. 29 595 doi:10.1088/0967-3334/29/5/006
R Sameni1,2, M B Shamsollahi2 and C Jutten1
Show affiliationsElectrocardiogram (ECG) and magnetocardiogram (MCG) signals are among the most considerable sources of noise for other biomedical signals. In some recent works, a Bayesian filtering framework has been proposed for denoising the ECG signals. In this paper, it is shown that this framework may be effectively used for removing cardiac contaminants such as the ECG, MCG and ballistocardiographic artifacts from different biomedical recordings such as the electroencephalogram, electromyogram and also for canceling maternal cardiac signals from fetal ECG/MCG. The proposed method is evaluated on simulated and real signals.
87.85.Ng Biological signal processing
87.19.R- Mechanical and electrical properties of tissues and organs
Issue 5 (May 2008)
Received 17 December 2007, accepted for publication 2 April 2008
Published 7 May 2008
R Sameni et al 2008 Physiol. Meas. 29 595
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