Using independent component analysis for noise reduction of magnetocardiographic data in case of exercise with an ergometer.
In 1992, Brockmeier et al. showed that there is a strong difference in magnetocardiography (MCG)-detected field distribution generated by the heart at rest and under stress. To study the possible clinical applications of this finding, it is convenient to avoid pharmacological stress and to perform stress MCG (SMCG) using conventional physical stress with an ergometer. When using a non-magnetic ergometer, the MCG recordings under physical stress are more noisy due to the unavoidable movement artefacts from the patient and from the residual artefacts of the ergometer. To remove these artefacts a denoising was performed using independent component analysis (ICA) in a new implementation. This work shows that with ICA in this special implementation it is becoming feasible to extract heart signals from SMCG data recorded during ergometer exercise.
Müller
H-P
HP
Division for Biosignals and Imaging Technologies, Central Institute for Biomedical Engineering, University of Ulm, Germany.
Nolte
G
G
Paolo
D Di Pietro
DD
Erné
S N
SN
D003627:Data Interpretation, Statistical; D016552:Ergometry / Q000706:statistics & numerical data*; D005080:Exercise Test / Q000706:statistics & numerical data*; D006321:Heart / Q000502:physiology*; D006801:Humans; D008280:Magnetics