Classification of single-trial auditory events using dry-wireless EEG during real and motion simulated flight

Frontiers in Systems Neuroscience
Daniel E CallanCengiz Terzibas

Abstract

Application of neuro-augmentation technology based on dry-wireless EEG may be considerably beneficial for aviation and space operations because of the inherent dangers involved. In this study we evaluate classification performance of perceptual events using a dry-wireless EEG system during motion platform based flight simulation and actual flight in an open cockpit biplane to determine if the system can be used in the presence of considerable environmental and physiological artifacts. A passive task involving 200 random auditory presentations of a chirp sound was used for evaluation. The advantage of this auditory task is that it does not interfere with the perceptual motor processes involved with piloting the plane. Classification was based on identifying the presentation of a chirp sound vs. silent periods. Evaluation of Independent component analysis (ICA) and Kalman filtering to enhance classification performance by extracting brain activity related to the auditory event from other non-task related brain activity and artifacts was assessed. The results of permutation testing revealed that single trial classification of presence or absence of an auditory event was significantly above chance for all conditions on a novel test...Continue Reading

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Citations

Jul 27, 2017·Human Brain Mapping·Gautier DurantinDaniel E Callan
Jul 26, 2018·Human Factors·Sébastien ScannellaFrédéric Dehais
Mar 2, 2018·Frontiers in Physiology·Thea Radüntz
Nov 10, 2018·Frontiers in Psychology·Vicente SotoAndrej Stancak

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Software Mentioned

EEGLAB
Matlab Least Squares Probabilistic Classification ( LSPC )
Cognionics
Matlab
Ubuntu
Linux

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