Name
Title | ||
|---|---|---|
Blind separation of ballistocardiogram from EEG via short-and-long-term linear prediction filtering |
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MLSP.2012.6349779 | Machine Learning for Signal Processing |
Keywords | Field | DocType |
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,Blind source extraction,ballistocardiogram,linear prediction | Pattern recognition,Computer science,Blind source extraction,Filter (signal processing),Linear prediction,Speech recognition,Artificial intelligence,Filtering theory,Blind signal separation,Machine learning,Electroencephalography | Conference |
ISSN | ISBN | Citations |
1551-2541 E-ISBN : 978-1-4673-1025-3 | 978-1-4673-1025-3 | 3 |
PageRank | References | Authors |
0.57 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saideh Ferdowsi | 1 | 147 | 10.85 |
| Vahid Abolghasemi | 2 | 274 | 22.58 |
| Saeid Sanei | 3 | 20 | 2.83 |