Article
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Preserved in Portico This version is not peer-reviewed
Brain Wearables: Validation Toolkit for Ear-Level EEG Sensors
Version 1
: Received: 19 December 2023 / Approved: 20 December 2023 / Online: 20 December 2023 (10:23:56 CET)
A peer-reviewed article of this Preprint also exists.
Correia, G.; Crosse, M.J.; Lopez Valdes, A. Brain Wearables: Validation Toolkit for Ear-Level EEG Sensors. Sensors 2024, 24, 1226. Correia, G.; Crosse, M.J.; Lopez Valdes, A. Brain Wearables: Validation Toolkit for Ear-Level EEG Sensors. Sensors 2024, 24, 1226.
Abstract
Electroencephalography (EEG) enabled earbuds represent a promising frontier in evaluating brain activity beyond traditional laboratory settings. However, these devices need more comprehensive characterization before widespread health related usage. A toolbox was developed to facilitate and expand the assessment of ear-EEG devices. The first component of this toolbox is a desktop application (“EaR-P Lab”) that integrates EEG validation paradigms. This application is designed to be used with EEG amplifiers compatible with the Lab Streaming Layer (LSL) protocol. The second element of the toolbox introduces an adaptation of the phantom testing concept, to the domain of ear-EEG by using 3D ear scans of the tested individuals, allowing controlled assessment of ear-EEG devices. The EEG paradigms were validated for scalp acquisitions and applied on ear-EEG measurements, under wet ear electrode conditions. The ear-EEG phantom was successful in measuring useful metrics in EEG system characterization, highlighting performance differences within the electrodes on the tested earpieces. This knowledge was factored in to select an optimal electrode reference which resulted in increased response power on the auditory steady-state response (ASSR). Through this work, an ear-EEG evaluation toolkit is made available with the intention to enable future and systematic assessment of novel ear-EEG devices from the hardware to the neural signals.
Keywords
Wearable Electroencephalography; Ear-EEG; Validation; Toolkit; EEG Phantom; Event-Related Potentials
Subject
Engineering, Bioengineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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