| 谢士遥,汤佳贝,蔡 雨,叶阳阳,许敏鹏,明 东.脑电 BCI 系统的软硬件开发平台发展现状[J].电子测量与仪器学报,2022,36(6):1-12 |
| 脑电 BCI 系统的软硬件开发平台发展现状 |
| Review on software and hardware platforms for EEG-based BCI system |
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| DOI： |
| 中文关键词: 脑-机接口 脑电图 硬件 软件 编解码 |
| 英文关键词:brain-computer interface electroencephalogram hardware software encoding and decoding |
| 基金项目:国家杰出青年科学基金项目(81925020)、国家自然科学基金优秀青年科学基金项目(62122059)、国家自然科学基金面上项目(61976152)、济南市“新高校20条”引进创新团队项目(2021GXRC071)资助 |
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| Author | Institution |
| Xie Shiyao | 1. School of Precision Instrument and Opto-Electronics Engineering, Tianjin University |
| Tang Jiabei | 1. School of Precision Instrument and Opto-Electronics Engineering, Tianjin University |
| Cai Yu | 2. Academy of Medical Engineering and Translational Medicine, Tianjin University |
| Ye Yangyang | 2. Academy of Medical Engineering and Translational Medicine, Tianjin University |
| Xu Minpeng | 1. School of Precision Instrument and Opto-Electronics Engineering, Tianjin University,2. Academy of Medical Engineering and Translational Medicine, Tianjin University |
| Ming Dong | 1. School of Precision Instrument and Opto-Electronics Engineering, Tianjin University,2. Academy of Medical Engineering and Translational Medicine, Tianjin University |
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| 中文摘要: |
| 脑-机接口系统(brain-computer interface,BCI)是一种将大脑活动信息直接转换为人工输出的系统,允许用户通过思维
活动直接控制外部设备。 脑电图技术(electroencephalogram,EEG)可以实时获取大脑活动产生的神经生理电信息,具有无创、低
廉、高时间分辨率等优点,是 BCI 获取大脑活动信息的主流方式之一。 脑电 BCI 系统具有脑电信号采集、处理和输出结果的功
能,能够诱发特征脑电,并控制外部设备,在康复、医疗诊断和神经科学研究等领域具有巨大的应用价值。 随着脑电 BCI 系统应
用需求不断增加,确保其快速高效地部署和应用的技术越来越重要。 结合近些年脑电 BCI 系统研究和应用,综合论述目前用于
开发脑电采集和编解码的硬件和软件平台的技术,分析归纳其当前现状与未来趋势,以促进开发脑电 BCI 系统软硬件平台的有
效发展。 |
| 英文摘要: |
| Brain-computer interface (BCI) is a system that converts brain activity information directly into artificial output, allowing
users to directly control external devices through thinking activities. Electroencephalogram ( EEG) technology could obtain real-time
neurophysiological electrical signals generated by brain activity. EEG, which has the advantages of non-invasiveness, low cost, and high
time resolution, is one of the mainstream methods for BCI to obtain brain activity information. The EEG-based BCI system (EEG-BCI),
which provides functions of acquiring signal, processing signal and outputting results, has the ability to evoke characteristic EEG and
control external devices. And it has great application value in rehabilitation, diagnosis and neuroscience research. With the everincreasing application demands of EEG-BCI, the technologies that can ensure it rapid and efficient deployment and application are
increasingly important. According to the research and application of the EEG-BCI in recent years, this article reviewed the currently
technologies of the hardware and software platforms for building EEG-BCI, summarized current status, and evaluated future trends, to
promote the development of EEG-BCI. |
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