article Open AccessTop 1% cited
Real-time neuroimaging and cognitive monitoring using wearable dry EEG
IEEE Transactions on Biomedical Engineering · 2015 · Vol. 62(11) · pp. 2553–2567
Tim Mullen✉(University of California, San Diego)Christian KotheYu Mike(Cognionics (United States))Alejandro OjedaTrevor Kerth(Kingston University)Scott Makeig(University of California, San Diego)Tzyy‐Ping Jung(University of California, San Diego)Gert Cauwenberghs(University of California, San Diego)
Abstract
This paper is the first validated application of these methods to 64-channel dry EEG. This study addresses a need for robust real-time measurement and interpretation of complex brain activity in the dynamic environment of the wearable setting. Such advances can have broad impact in research, medicine, and brain-computer interfaces. The pipelines are made freely available in the open-source SIFT and BCILAB toolboxes.
EEG and Brain-Computer InterfacesFunctional Brain Connectivity StudiesNeural dynamics and brain functionNeuroimagingElectroencephalographyWearable computerCognitionComputer sciencePsychologyNeuroscienceEmbedded system
MeSH terms
AdultAlgorithmsBrainCognitionElectroencephalographyHumansMaleTask Performance and AnalysisYoung AdultNeuroimagingBrain-Computer Interfaces
Funding
- Institut National de la Santé et de la Recherche Médicale
- Army Research Laboratory
Citations
790
FWCI
14.85
field-weighted impact
References
73
Percentile
99%
vs. same field & year
Citations per year
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