Low-cost, mobile EEG hardware for SSVEP applications

IF 2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

HardwareX Pub Date : 2024-08-10 DOI:10.1016/j.ohx.2024.e00567

M. Kancaoğlu, M. Kuntalp

{"title":"Low-cost, mobile EEG hardware for SSVEP applications","authors":"M. Kancaoğlu, M. Kuntalp","doi":"10.1016/j.ohx.2024.e00567","DOIUrl":null,"url":null,"abstract":"<div><p>The global shortage of integrated circuits due to the COVID-19 pandemic has made it challenging to build biopotential acquisition devices like electroencephalography (EEG) hardware. To address this issue, a new hardware system using common ICs has been designed, which is cost-effective, precise, and easily accessible from global distributors. The hardware system comprises 8-channel inputs EEG hardware with a mobile headset capable of acquiring 5-30Hz EEG signals. First two channels of the design is enabled for steady-state visual evoked potential (SSVEP) operations, and the remaining channels can be powered up as needed. A small 3D-printable enclosure is also designed for the hardware board, which is attached to protective glasses to be used as a head-mounted device. The board includes an additional green LED, 4 pulse width modulation (PWM) outputs for general-purpose input/output (GPIO), 2 buttons for input, and exposed programming pins and digital-to-analog converter (DAC) output from the microcontroller unit (MCU). The proposed hardware system is expected to enable students and young researchers to experiment with EEG signals, especially SSVEP, before investing in professional equipment with the availability of programming codes.</p></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468067224000610/pdfft?md5=b46ca8b5f6ff44237844514be70a75d3&pid=1-s2.0-S2468067224000610-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HardwareX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468067224000610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

The global shortage of integrated circuits due to the COVID-19 pandemic has made it challenging to build biopotential acquisition devices like electroencephalography (EEG) hardware. To address this issue, a new hardware system using common ICs has been designed, which is cost-effective, precise, and easily accessible from global distributors. The hardware system comprises 8-channel inputs EEG hardware with a mobile headset capable of acquiring 5-30Hz EEG signals. First two channels of the design is enabled for steady-state visual evoked potential (SSVEP) operations, and the remaining channels can be powered up as needed. A small 3D-printable enclosure is also designed for the hardware board, which is attached to protective glasses to be used as a head-mounted device. The board includes an additional green LED, 4 pulse width modulation (PWM) outputs for general-purpose input/output (GPIO), 2 buttons for input, and exposed programming pins and digital-to-analog converter (DAC) output from the microcontroller unit (MCU). The proposed hardware system is expected to enable students and young researchers to experiment with EEG signals, especially SSVEP, before investing in professional equipment with the availability of programming codes.

Abstract Image

查看原文本刊更多论文

用于 SSVEP 应用的低成本移动脑电图硬件

COVID-19 大流行导致全球集成电路短缺，这给制造脑电图（EEG）硬件等生物电位采集设备带来了挑战。为解决这一问题，我们设计了一种使用普通集成电路的新型硬件系统，它成本低、精度高，而且易于从全球分销商处获得。该硬件系统包括 8 个输入通道的脑电图硬件和一个可采集 5-30Hz 脑电信号的移动耳机。设计的前两个通道用于稳态视觉诱发电位（SSVEP）操作，其余通道可根据需要供电。此外，还为硬件电路板设计了一个小型 3D 打印外壳，将其固定在保护眼镜上，作为头戴式设备使用。该电路板包括一个额外的绿色 LED、4 个用于通用输入/输出（GPIO）的脉宽调制（PWM）输出、2 个用于输入的按钮以及微控制器单元（MCU）的外露编程引脚和数模转换器（DAC）输出。预计所提议的硬件系统可让学生和年轻研究人员在投资专业设备之前，利用编程代码对脑电信号（尤其是 SSVEP）进行实验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.