首先,介绍了脑机接口的基本概念,分析了低功耗高分辨率模/数转换芯片在脑机接口系统中的必要性。然后,讨论了国产ADC芯片BMF21A1的性能,以脑电模拟仪测试验证该芯片可应用于脑电微弱信号的采集。最后,以该芯片构成的ADC模组为例,介绍了眼电检测、专注度及冥想度检测以及稳态视觉诱发电位3种典型的脑机接口应用。
Abstract
The basic concepts of brain-computer interface(BCI) are described and the necessity of low-power high-resolution ADC chips in BCI system is analyzed.Then the performance of the domestic ADC chip BMF21A1 is discussed,and the EEG simulator is used to verify that the chip can be applied to the acquisition of weak EEG signals.At last,taking the ADC module composed of the chip as an example,three typical applications of BCI are described,including EOG detection,attention and meditation detection,and SSVEP.
关键词
BMF21A1 /
脑机接口 /
眼电检测 /
专注度及冥想度 /
稳态视觉诱发电位
Key words
BMF21A1 /
BCI /
EOG detection /
attention and meditation /
SSVEP
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] Raut S V,Yadav D M.A Review on fMRI Signal Analysis and Brain Mapping Methodologies[C]//Proceedings of the First International Conference on Computational Intelligence and Informatics.Springer,Singapore,2017:309-320.
[2] 陆琼衡.美国脑机接口研发过程及进展[J].生物学教学,2022,47(5):9-11.
[3] 蒲江波,余云涛,蔺芳,等.脑机接口标准化进展[J].生命科学仪器,2021,19(6):4-13.
[4] Vidal J J.Toward direct brain-computer communication[J].Annual review of Biophysics and Bioengineering,1973,2(1):157-180.
[5] 贺文韬.脑机接口技术综述[J].数字通信世界,2018(1):73-78.
[6] Saha S,Mamun K A,Ahmed K,et al.Progress in brain computer interface: Challenges and opportunities[J].Frontiers in Systems Neuroscience,2021(15):578875.
[7] 乔纳森.脑-机接口原理与实践[M].北京:国防工业出版社,2017.
[8] 贺光伟,董旭峰,齐民.脑机接口柔性电极材料研究进展[J].功能材料,2019,50(12):12026-12034.
[9] 江苏集萃脑机融合智能技术研究所.BMF21A1 datasheet,2021.
[10] Lin H,Li Y.Using EEG data analytics to measure meditation[C]//International Conference on Digital Human Modeling and Applications in Health,Safety,Ergonomics and Risk Management.Springer,Cham,2017:270-280.
[11] Ravi A,Beni N H,Manuel J,et al.Comparing user-dependent and user-independent training of CNN for SSVEP BCI[J].Journal of neural engineering,2020,17(2):26-28.