@InProceedings{Supelec433,
author = {Julien Oster and Olivier Pietquin and Michel Kraemer and Jacques Felblinger},
title = {{Independent Component Analysis based Artifact Reduction Method for ECG in MR}},
year = {2008},
booktitle = {{Proceedings of the European Society for Magnetic Resonance in Medicine and Biology congress (ESMRMB 08)}},
month = {October},
address = {Valencia (Spain)},
abstract = {Acquisition of an Electrocardiogram (ECG) during MRI is
challenging. Applications of magnetic field gradients induces
artifacts on ECG signals, so that patient monitoring or
sequence triggering remain complicated. Signal processing is
required to accurately detect QRS. To overcome this issue,
specific QRS detector based on vectocardiogram were designed
[1] or artifact suppression methods were proposed [2, 3, 4]
using information of the gradient signals as input. Here we
propose a new method for artifact reduction applying
Independent Component Analysis (ICA) [5] avoiding the
connection to the gradient cabinet.}
}