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<pre>
Evolution of EEG systems from high density to
wearables: opportunities for expansion
Marta Molinas1
1
    Norwegian University of Science and Technology, Elektro D/B2, D244, Gløshaugen, O. S. Bragstads plass 2, Norway


                                         Abstract
                                         With a history that started with recordings from two electrodes, EEG technology has evolved to a full
                                         coverage of the scalp with more than 300 electrodes, to only experience, in the last decades, a new trend
                                         of low electrode density in emerging consumer grade EEG systems. These new emerging EEG devices
                                         with low density electrodes are increasingly being used in research, opening new opportunities for
                                         large-scale data collection. However, due to the fast pace of consumer grade EEG, combined with the lack
                                         of a standardized framework to evaluate their performance, their accuracy and reliability in measuring
                                         EEG remains largely unknown. In this talk, I will present a historical perspective on the evolution of EEG
                                         technology and in that context, I will introduce a new methodology to assess the performance of EEG
                                         with low density electrodes, when applied to brain imaging. The performance will be compared with
                                         gold-standard high-density EEG (128, 231, 256 Ch). The methodology is conceived with the objective of
                                         selecting optimal electrode locations for a given paradigm, to design light EEG systems with minimum
                                         number of electrodes. The same methodology can be used for standardizing the performance testing of
                                         consumer grade EEG, thus increasing the replicability of validation studies. The tools developed based
                                         on this methodology can be easily adopted by researchers and commercial actors in the design process
                                         of new EEG systems and to increase the efficiency, interpretation, and the quality of validation studies
                                         of currently available devices. They can also serve as validation platform in the process of adoption of
                                         consumer grade EEG devices in research and clinical settings.




Italian Workshop on Artificial Intelligence for Human Machine Interaction (AIxHMI 2022), December 02, 2022, Udine,
Italy
$ marta.molinas@ntnu.no (M. Molinas)
€ https://www.ntnu.edu/employees/marta.molinas (M. Molinas)
 0000-0002-8791-0917 (M. Molinas)
                                       © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
    CEUR
    Workshop
    Proceedings
                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)

</pre>