与头发兼容的海绵电极集成在VR头显上用于脑电图

Soft science Pub Date : 2023-01-01 DOI:10.20517/ss.2023.11
Hongbian Li, Hyonyoung Shin, Min Zhang, Andrew Yu, Heeyong Huh, Gubeum Kwon, Nicholas J. Riveira, Sangjun Kim, Susmita Gangopadahyay, Jessie Peng, Zhengjie Li, Yifan Rao, L. Sentis, J. Millán, N. Lu
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引用次数: 1

摘要

虚拟现实(VR)技术已经成为脑机交互和神经科学研究的一个有前途的工具,因为它能够为用户提供身临其境的互动体验。作为一种无创监测皮质的强大工具,脑电图(EEG)与VR相结合,为测量这些体验中的大脑活动提供了一个令人兴奋的机会,提供了对认知和神经过程的洞察。然而,传统的凝胶型脑电图传感器与VR头戴设备并不兼容,大多数新兴的VR-EEG头戴设备使用刚性梳状电极,长时间佩戴后不舒服。为了解决这一限制,我们基于导电聚(3,4-乙烯二氧噻吩)聚苯乙烯磺酸/三聚氰胺(PMA)制造了柔软、多孔、与头发兼容的海绵电极,并通过定制的柔性电路将其集成到VR头戴设备上,用于VR任务执行期间的多通道EEG。我们的PMA海绵电极可以在VR头显带自然施加的压力下变形,通过头发与头皮皮肤接触。即使在毛状部位,比接触阻抗也始终低于80 kΩ·cm2。我们通过记录无毛和有毛部位闭眼时的α节律,展示了VR-EEG耳机的功能。在另一个演示中,我们开发了一个VR任务来唤起偶然的负变异电位,并获得了0.66±0.07的分类精度,由接收者工作特征曲线下的交叉验证面积表示。我们的海绵电极集成VR头显用户友好且易于设置,标志着向未来可靠,舒适和可重复使用的VR- eeg技术迈出了一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hair-compatible sponge electrodes integrated on VR headset for electroencephalography
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 VR headset. The specific contact impedance was consistently below 80 kΩ·cm2, even at hairy sites. We demonstrated the capability of our VR-EEG headset by recording alpha rhythms during eye closure at both hairless and hairy sites. In another demonstration, we developed a VR task to evoke the contingent negative variation potential and achieved a classification accuracy of 0.66 ± 0.07, represented by the cross-validated area under the receiver operating characteristic curve. Our sponge-electrode-integrated VR headset is user-friendly and easy to set up, marking a step toward future reliable, comfortable, and reusable VR-EEG technology.
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