@Article{Supelec552,
author = {Julien Oster and Olivier Pietquin and Roger Abächerli and Michel Kraemer and Jacques Felblinger},
title = {{Independent component analysis based artefact reduction: application to electrocardiogram for improved magnetic resonance imaging triggering }},
journal = {Physiological Measurement},
year = {2009},
volume = {30},
pages = {1381-1397},
month = {November},
url = {http://www.iop.org/EJ/abstract/0967-3334/30/12/007/},
doi = {10.1088/0967-3334/30/12/007},
abstract = {Electrocardiogram (ECG) is required during Magnetic Resonance (MR) examination, for the monitoring of patients under anaesthesia or with heart diseases and for synchronizing image acquisition with heart activity (triggering). Accurate and fast QRS detection is therefore desirable, but this task is complicated by artefacts related to the complex MR environment (high magnetic eld, radio-frequency pulses and fast switching magnetic gradients). Specic signal processing has been proposed, whether using specic MR QRS detectors or ECG denoising methods. Most state-ofthe-art techniques use a connection to the MR system for achieving their task, which is a major drawback since the access to the MR system is often restricted. This paper introduces a new method for on-line ECG signal enhancement, called ICARE, which takes advantage of using multi-lead ECG and does not require any connnection to the MR system. It is based on Independent Component Analysis (ICA) and applied in real time. This algorithm yields accurate QRS detection for efficient triggering.}
}