Journal
PHYSIOLOGICAL MEASUREMENT
Volume 30, Issue 12, Pages 1381-1397Publisher
IOP PUBLISHING LTD
DOI: 10.1088/0967-3334/30/12/007
Keywords
electrocardiogram; magnetic resonance imaging; blind source separation; independent component analysis
Categories
Funding
- ANR (Agence Nationale de Recherche, France) TecSan
- Inserm and Region Lorraine, France
Ask authors/readers for more resources
Electrocardiogram (ECG) is required during magnetic resonance (MR) examination for monitoring 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 field, radio-frequency pulses and fast switching magnetic gradients). Specific signal processing has been proposed, whether using specific MR QRS detectors or ECG denoising methods. Most state-of-the-art techniques use a connection to the MR system for achieving their task, which is a major drawback since 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 connection 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available