article Open AccessTop 1% cited
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
NeuroImage · 2007 · Vol. 34(4) · pp. 1443–1449
Arnaud Delorme✉(University of California, San Diego)T. J. Sejnowski(Salk Institute for Biological Studies)Scott Makeig(University of California, San Diego)
Blind Source Separation TechniquesEEG and Brain-Computer InterfacesNeural dynamics and brain functionIndependent component analysisInfomaxArtifact (error)Computer sciencePattern recognition (psychology)ElectroencephalographyThresholdingArtificial intelligenceNoise (video)Blind signal separation
MeSH terms
AlgorithmsAutomationComputer SimulationElectroencephalographyHumansSensitivity and SpecificityReproducibility of Results
Funding
- Institut national de recherche en informatique et en automatique (INRIA)
- National Institutes of Health
Citations
1,771
FWCI
35.96
field-weighted impact
References
26
Percentile
100%
vs. same field & year
Citations per year
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References
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Trends in Cognitive Sciences · 2004 · 1,509 citations
Independent component analysis: algorithms and applications
Neural Networks · 2000 · 8,703 citations
Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects
Clinical Neurophysiology · 2000 · 1,361 citations
Spectrum estimation and harmonic analysis
Proceedings of the IEEE · 1982 · 4,398 citations
Advances in neural information processing systems 7
Computers & Mathematics with Applications · 1996 · 14,367 citations
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