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Li et al. Soft Sci 2023;3:22                                              Soft Science
               DOI: 10.20517/ss.2023.11



               Research Article                                                              Open Access



               Hair-compatible sponge electrodes integrated on VR

               headset for electroencephalography


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               Hongbian Li , Hyonyoung Shin , Minsu Zhang , Andrew Yu , Heeyong Huh , Gubeum Kwon , Nicholas
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               Riveira , Sangjun Kim , Susmita Gangopadahyay , Jessie Peng , Zhengjie Li , Yifan Rao , Luis Sentis ,
               José  del R. Millán 2,6,7 , Nanshu Lu 1,2,4,5,8,*
               1
                Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA.
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                Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
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                Artue Associates Incorporated, Seoul, 04410, Republic of Korea.
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                Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
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                Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
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                Department of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
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                Mulva Clinic for the Neurosciences, The University of Texas at Austin, Austin, TX 78712, USA.
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                Texas Materials Institute, The University of Texas at Austin, Austin, TX 78712, USA.
               * Correspondence to: Prof. Nanshu Lu, Department of Aerospace Engineering and Engineering Mechanics, The University of
               Texas at Austin, 2617 Wichita St., Austin, TX 78712, USA. E-mail: nanshulu@utexas.edu
               How to cite this article: Li H, Shin H, Zhang M, Yu A, Huh H, Kwon G, Riveira N, Kim S, Gangopadahyay S, Peng J, Li Z, Rao Y,
               Sentis L, Millán JdR, Lu N. Hair-compatible sponge electrodes integrated on VR headset for electroencephalography. Soft Sci
               2023;3:22. https://dx.doi.org/10.20517/ss.2023.11
               Received: 28 Feb 2023  First Decision: 4 Apr 2023  Revised: 9 May 2023   Accepted: 24 May 2023  Published: 3 Jul 2023
               Academic Editors: Dae-Hyeong Kim, Zhifeng Ren  Copy Editor: Lin He  Production Editor: Dong-Li Li
               Abstract
               Virtual reality (VR) technology has emerged as a promising tool for brain-computer interaction and neuroscience
               research due to its ability to provide immersive and interactive experiences for its users. As a powerful tool to
               noninvasively monitor the cortex, electroencephalography (EEG) combined with VR represents an exciting
               opportunity for the measurement of brain activity during these experiences, providing insight into cognitive and
               neural processes. However, traditional gel-based EEG sensors are not compatible with VR headsets, and most
               emerging VR-EEG headsets utilizing rigid comb electrodes are uncomfortable after prolonged wear. To address this
               limitation, we created soft, porous, and hair-compatible sponge electrodes based on conductive poly(3,4-
               ethylenedioxythiophene) polystyrene sulfonate/melamine (PMA) and integrated them onto a VR headset through
               a customized, flexible circuit for multichannel EEG during VR task performing. Our PMA sponge electrodes can
               deform to make contact with the scalp skin through hairs under the pressure naturally applied by the strap of the
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               VR  headset.  The  specific  contact  impedance  was  consistently  below  80  kΩ·cm , even  at  hairy  sites.  We
               demonstrated the capability of our VR-EEG headset by recording alpha rhythms during eye closure at both hairless





                           © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
               indicate if changes were made.

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