Title :
Blind separation of ballistocardiogram from EEG via short-and-long-term linear prediction filtering
Author :
Ferdowsi, Saideh ; Abolghasemi, Vahid ; Sanei, Saeid
Author_Institution :
Fac. of Eng. & Phys. Sci., Univ. of Surrey, Guildford, UK
Abstract :
In this paper the problem of removing ballistocardiogram (BCG) artifact from EEG signals is addressed. This kind of artifact appears in simultaneous EEG-fMRI recordings. We propose a new Blind source extraction method based on linear prediction technique. The proposed method is a joint short-and-long-term prediction (SLTP) strategy to extract the BCG sources. The main reason of using this technique is to jointly model the temporal structure (short-term prediction) of sources and exploiting the prior information of BCG sources (long-term prediction). The results of extensive experiments on both synthetic and real data confirm the strength of the proposed technique to effectively remove the BCG artifact.
Keywords :
biomedical MRI; blind source separation; electroencephalography; filtering theory; medical image processing; prediction theory; BCG artifact; EEG signal; SLTP filtering; ballistocardiogram; blind source extraction method; fMRI recording; linear prediction technique; short-and-long-term prediction; temporal structure; Brain modeling; Correlation; Cost function; Electroencephalography; Indexes; Prediction algorithms; Vectors; Blind source extraction; ballistocardiogram; linear prediction;
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on
Conference_Location :
Santander
Print_ISBN :
978-1-4673-1024-6
Electronic_ISBN :
1551-2541
DOI :
10.1109/MLSP.2012.6349779