title: Independent component analysis-based artefact reduction: application to the electrocardiogram for improved magnetic resonance imaging triggering.
abstract: 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.affiliation: U947, Inserm, Nancy, France.
authors.forename: Julien
authors.initials: J
authors.lastname: Oster
authors.forename: Olivier
authors.initials: O
authors.lastname: Pietquin
authors.forename: Roger
authors.initials: R
authors.lastname: Abächerli
authors.forename: Michel
authors.initials: M
authors.lastname: Kraemer
authors.forename: Jacques
authors.initials: J
authors.lastname: Felblinger
mesh_terms: D000328:Adult; D000465:Algorithms; D016477:Artifacts; D055424:Cardiac-Gated Imaging Techniques / Q000379:methods*; D019992:Databases as Topic; D004562:Electrocardiography / Q000379:methods*; D005189:False Positive Reactions; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors