Name
Abstract | ||
|---|---|---|
This letter demonstrates the theoretical equivalence between the different ICA/beamforming based solutions proposed in the literature for the reference-estimation problem in electroencephalographic (EEG) recordings . By reference, we understand an unknown, non-null, time-varying potential, measured at the reference electrode situated sufficiently distant from the measuring electrodes. Despite the ... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LSP.2011.2173569 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Electrodes,Electroencephalography,Pollution measurement,Brain modeling,Source separation,Electric potential | Beamforming,Pattern recognition,Computer science,A priori and a posteriori,Equivalence (measure theory),Independent component analysis,Artificial intelligence,Eeg analysis,Blind signal separation,Source separation,Electroencephalography | Journal |
Volume | Issue | ISSN |
19 | 1 | 1070-9908 |
Citations | PageRank | References |
4 | 0.56 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Radu Ranta | 1 | 37 | 9.35 |
| Nilesh Madhu | 2 | 62 | 8.32 |