A Constrained ICA Approach for Real-Time Cardiac Artifact Rejection in Magnetoencephalography

作者：Breuer Lukas^*; Dammers Juergen; Roberts Timothy P L; Shah N Jon

来源：IEEE Transactions on Biomedical Engineering, 2014, 61(2): 405-414.

DOI：10.1109/TBME.2013.2280143

• Cardiac artifact rejection for real-time analysis (CARTA)
• constrained ICA (cICA)
• cross trial phase statistics (CTPS)
• independent component analysis (ICA)
• magnetoencephalography (MEG)
• real-time artifact reduction

Recently, magnetoencephalography (MEG)-based real-time brain computing interfaces (BCI) have been developed to enable novel and promising methods of neuroscience research and therapy. Artifact rejection prior to source localization largely enhances the localization accuracy. However, many BCI approaches neglect real-time artifact removal due to its time consuming processing. With cardiac artifact rejection for real-time analysis (CARTA), we introduce a novel algorithm capable of real-time cardiac artifact (CA) rejection. The method is based on constrained independent component analysis (ICA), where a priori information of the underlying source signal is used to optimize and accelerate signal decomposition. In CARTA, this is performed by estimating the subject's individual density distribution of the cardiac activity, which leads to a subject-specific signal decomposition algorithm. We show that the new method is capable of effectively reducing CAs within one iteration and a time delay of 1 ms. In contrast, Infomax and Extended Infomax ICA converged not until seven iterations, while FastICA needs at least ten iterations. CARTA was tested and applied to data from three different but most common MEGsystems (4-D-Neuroimaging, VSM MedTech Inc., and Elekta Neuromag). Therefore, the new method contributes to reliable signal analysis utilizing BCI approaches.

• 出版日期2014-2