摘要
目的:研制一种基于瞬态视觉诱发电位的实时脑机接口系统,该系统可用于残障人士的自我康复。方法:利用穿戴式技术与无线网络技术设计相结合,穿戴式脑电采集头带将脑电信号和刺激同步信标信号利用紫蜂技术(ZigBee)无线发送到计算机,计算机根据同步信标信号产生刺激图案,并实现脑电中诱发电位信号的实时检测、特征提取和识别分类,输出相应控制命令。结果:10名受试者的实验结果显示,该系统对4个图案目标的识别的正确率可达92%。结论:该系统结构紧凑、使用方便、准确率高,该系统的研制对脑机接口走向实用化做了有意义的探索。
Objective To present a real-time brain-computer interface system based on transient visual evoked potentials. Methods After collecting EEG signals, the wearable headband transmitted the EEG signals and stimulating synchronization beacon signals to a computer. According to synchronized beacon signal, the computer generated a stimulating pattern and achieved the extraction of EEG, feature extraction and recognition classification in real time. Results 10 subjects of the experimental results with four pattern showed that the correct identification rate had reached 92%. Conclusion The system, being compact, easy-to-use and high-accuracy, contributes a lot to the practical utilization of brain-computer interface. [Chinese Medical Equipment Journal, 2010,31 （5） ： 10-13]
出处
《医疗卫生装备》
CAS
2010年第5期10-13,共4页
Chinese Medical Equipment Journal
基金
重庆市重大产业关键技术项目(2007-1110)
关键词
脑机接口
穿戴式技术
紫蜂无线通信技术
瞬态视觉诱发电位
brain-computer-interface（BCI）
wearable technique
ZigBee
transient visual evoked potential（TSVEP）
