Title
Automatic identification and removal of scalp reference signal for intracranial EEGs based on independent component analysis.
Abstract
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 Hu145242.72
Matt Stead2364.65
Gregory A Worrell3372.96