摘要
脑机接口在医疗健康领域具有很高应用价值。但在实际临床应用中,脑机接口的使用需考虑其使用便利性和系统性能表现。可穿戴式脑机接口有助于提高使用便利性,但在现实场景下的性能仍需进行评估。本研究提出了一个配置小型脑电采集器和高性能无训练解码算法的可穿戴式稳态视觉诱发电位脑机接口系统,并招募10位健康受试者在简化实验准备的现实场景下进行该系统的性能测试。结果表明,该系统在40目标下的平均分类准确率为94.10%,与实验室环境下采集的数据集相比没有显著差异。该系统在8通道信号下实现了115.25 bit/min的最高信息传输率,而4通道下的最高信息传输率为98.49 bit/min,提示4通道方案可作为一个少通道脑机接口的选项。总体上,这个可穿戴式脑机接口在现实场景下具有不错表现,有助于脑机接口技术在临床中的推广和应用。
Brain-computer interface(BCI)has high application value in the field of healthcare.However,in practical clinical applications,convenience and system performance should be considered in the use of BCI.Wearable BCIs are generally with high convenience,but their performance in real-life scenario needs to be evaluated.This study proposed a wearable steady-state visual evoked potential(SSVEP)-based BCI system equipped with a small-sized electroencephalogram(EEG)collector and a high-performance training-free decoding algorithm.Ten healthy subjects participated in the test of BCI system under simplified experimental preparation.The results showed that the average classification accuracy of this BCI was 94.10%for 40 targets,and there was no significant difference compared to the dataset collected under the laboratory condition.The system achieved a maximum information transfer rate(ITR)of 115.25 bit/min with 8-channel signal and 98.49 bit/min with 4-channel signal,indicating that the 4-channel solution can be used as an option for the few-channel BCI.Overall,this wearable SSVEP-BCI can achieve good performance in real-life scenario,which helps to promote BCI technology in clinical practice.
作者
李晓东
曹翔
王俊霖
朱伟杰
黄涌
万峰
胡勇
LI Xiaodong;CAO Xiang;WANG Junlin;ZHU Weijie;HUANG Yong;WAN Feng;HU Yong(Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,Guangdong 518055,P.R.China;Orthopedic Center,The University of Hong Kong-Shenzhen Hospital,Shenzhen,Guangdong 518053,P.R.China;Department of Orthopaedics and Traumatology,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong S.A.R.999077,P.R.China;Joint Lab of Brain-Verse Digital Convergence,Guangdong Institute of Intelligence Science and Technology,Zhuhai,Guangdong 519060,P.R.China;School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,P.R.China;Lab of Brain-Inspired Computing System,Guangdong Institute of intelligence Science and Technology,Zhuhai,Guangdong 519060,P.R.China;Department of Electrical and Computer Engineering,Faculty of Science and Technology,University of Macao,Macao S.A.R.999078,P.R.China)
出处
《生物医学工程学杂志》
北大核心
2025年第3期464-472,共9页
Journal of Biomedical Engineering
基金
深圳市科技计划资助(GJHZ20220913143408015,JCYJ20230807113007015)
广东省医学科研基金项目(B2024036)
深圳市高层次医学团队项目(SZSM201612055)。
关键词
脑机接口
稳态视觉诱发电位
可穿戴系统
简化实验准备
Brain-computer interface
Steady-state visual evoked potential
Wearable system
Simplified experimental preparation
