Filtering the magnetohydrodynamic effect from 12-lead ECG signals using Independent Component Analysis

When recording an electrocardiogram (ECG) under the presence of the static magnetic feld of a magnetic resonance (MR) scanner, the ECG signal is disturbing by the magnetohydrodynamic (MHD) effect. Due to the MHD effect, the diagnostic information contained in the ECG signal is not accessible. This article copes with this problem by applying different Independent Component Analysis (ICA) algorithms to ECG signals corrupted by a simulated and real MHD effect. The applied ICA methods lead to significant errors in the resulting, filtered ECGs. Especially for the ECG signals with real MHD effect, a separation of the ECG and MHD components was not possible.

[1]  S. Swiryn,et al.  A 3D model of magnetohydrodynamic voltages: Comparison with voltages observed on the surface ECG during cardiac MRI , 2007, 2007 Computers in Cardiology.

[2]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[3]  T. Tenforde,et al.  Theoretical analysis of magnetic field interactions with aortic blood flow. , 1996, Bioelectromagnetics.

[4]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[5]  Roger Abächerli,et al.  Independent component analysis-based artefact reduction: application to the electrocardiogram for improved magnetic resonance imaging triggering , 2009, Physiological measurement.

[6]  J. Hennig,et al.  Optimized pre-processing of time-resolved 2 D and 3 D Phase Contrast MRI data , 2007 .

[7]  Georg Rose,et al.  Magnetohydrodynamic distortions of the ECG in different MR scanner configurations , 2011, 2011 Computing in Cardiology.

[8]  M. Ramasubba Reddy,et al.  ICA Based Flow Artifact Removal from ECG during MRI , 2009, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies.

[9]  J. Hennig,et al.  Quantitative 2D and 3D phase contrast MRI: Optimized analysis of blood flow and vessel wall parameters , 2008, Magnetic resonance in medicine.

[10]  Michael Markl,et al.  Time‐resolved three‐dimensional phase‐contrast MRI , 2003, Journal of magnetic resonance imaging : JMRI.

[11]  Lionel Tarassenko,et al.  Application of independent component analysis in removing artefacts from the electrocardiogram , 2006, Neural Computing & Applications.