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Ear-EEG sensitivity modeling for neural sources and ocular artifacts

Metin Yarıcı, Mike Thornton, Danilo P. Mandic

2023Frontiers in Neuroscience15 citationsDOIOpen Access PDF

Abstract

The ear-EEG has emerged as a promising candidate for real-world wearable brain monitoring. While experimental studies have validated several applications of ear-EEG, the source-sensor relationship for neural sources from across the brain surface has not yet been established. In addition, modeling of the ear-EEG sensitivity to sources of artifacts is still missing. Through volume conductor modeling, the sensitivity of various configurations of ear-EEG is established for a range of neural sources, in addition to ocular artifact sources for the blink, vertical saccade, and horizontal saccade eye movements. Results conclusively support the introduction of ear-EEG into conventional EEG paradigms for monitoring neural activity that originates from within the temporal lobes, while also revealing the extent to which ear-EEG can be used for sources further away from these regions. The use of ear-EEG in scenarios prone to ocular artifacts is also supported, through the demonstration of proportional scaling of artifacts and neural signals in various configurations of ear-EEG. The results from this study can be used to support both existing and prospective experimental ear-EEG studies and applications in the context of sensitivity to both neural sources and ocular artifacts.

Topics & Concepts

ElectroencephalographyComputer scienceArtifact (error)Sensitivity (control systems)Context (archaeology)SaccadeArtificial intelligenceSpeech recognitionPattern recognition (psychology)Eye movementNeurosciencePsychologyEngineeringBiologyPaleontologyElectronic engineeringEEG and Brain-Computer InterfacesNeural dynamics and brain functionNeuroscience and Neural Engineering
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