Title | ||
---|---|---|
Automatic identification and removal of scalp reference signal for intracranial EEGs based on independent component analysis. |
Abstract | ||
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The pursuit of an inactive recording reference is one of the oldest technical problems in electroencephalography (EEG). Since commonly used cephalic references contaminate EEG and can lead to misinterpretation, extraction of the reference contribution is of fundamental interest. Here, we apply independent component analysis (ICA) to intracranial recordings and propose two methods to automatically ... |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/TBME.2007.892929 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Scalp,Signal processing,Electroencephalography,Independent component analysis,Electrodes,Epilepsy,Pollution measurement,Brain modeling,Nervous system,Signal analysis | Computer vision,Epilepsy surgery,Underdetermined system,Linear model,Computer science,Artificial intelligence,Independent component analysis,Scalp,Blind signal separation,Electroencephalography,Intracranial EEGs | Journal |
Volume | Issue | ISSN |
54 | 9 | 0018-9294 |
Citations | PageRank | References |
18 | 1.56 | 15 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sanqing Hu | 1 | 452 | 42.72 |
Matt Stead | 2 | 36 | 4.65 |
Gregory A Worrell | 3 | 37 | 2.96 |