A low-cost, wireless, 4-channel EEG measurement system used in virtual reality environments

IF 2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

HardwareX Pub Date : 2024-01-24 DOI:10.1016/j.ohx.2024.e00507

Zhiyuan Yu , Shengwen Guo

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引用次数: 0

Abstract

The combination of Virtual Reality (VR) technology and Electroencephalography (EEG) measurements has shown tremendous potential in the fields of psychology and neuroscience research. However, the majority of EEG measurement devices currently available are expensive, bulky, uncomfortable to wear, and difficult to integrate with VR headsets. These limitations have hindered the development of related research fields. This study describes a low-cost (60.07 USD), small-sized, wireless, high-precision, low-power consumption 4-channel EEG measurement system (NeuroVista) for frontal area EEG measurements, which can be used with a VR headset, enabling EEG measurements in VR environments. The system has an input-referred noise of less than 0.9480 $μ V r m s$ , a common mode rejection ratio of over 96 dB, a measurement resolution of less than 0.1 $μ V$ , a bandwidth of 0.5 ∼ 45 Hz, and works at a sampling rate of 250 Hz. It also supports metal dry electrodes and includes a built-in analog bandpass filter, right-leg drive circuit, and built-in digital lowpass filter and notch filter, which can reduce noise during measurement. Researchers can reconstruct the electrode system to measure regions of interest according to their needs.

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用于虚拟现实环境的低成本无线 4 通道脑电图测量系统

虚拟现实（VR）技术与脑电图（EEG）测量的结合在心理学和神经科学研究领域显示出巨大的潜力。然而，目前市面上的大多数脑电图测量设备价格昂贵、体积庞大、佩戴不舒适，而且难以与 VR 头显集成。这些局限性阻碍了相关研究领域的发展。本研究介绍了一种低成本（60.07 美元）、小尺寸、无线、高精度、低功耗的 4 通道脑电图测量系统（NeuroVista），用于额区脑电图测量，可与 VR 头显一起使用，实现 VR 环境下的脑电图测量。该系统的输入参考噪声小于 0.9480 μVrms，共模抑制比超过 96 dB，测量分辨率小于 0.1 μV，带宽为 0.5 ∼ 45 Hz，采样率为 250 Hz。它还支持金属干电极，包括内置模拟带通滤波器、右脚驱动电路、内置数字低通滤波器和陷波滤波器，可降低测量过程中的噪声。研究人员可以根据自己的需要重建电极系统，测量感兴趣的区域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

HardwareX Engineering-Industrial and Manufacturing Engineering

CiteScore

4.10

自引率

18.20%

发文量

124

审稿时长

24 weeks

期刊介绍： HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.