基于事件关联电位脑机接口的电视遥控异步系统

Asynchronous TV remote control system based on event-related potential brain-computer interface

本文设计了基于事件关联电位脑机接口的脑电信号预处理、特征提取、分类识别实时算法,开发了具有通讯功能的遥控器,实现了脑机接口电视遥控的异步系统.受试者可以用脑电波来遥控电视选择频道和调整音量,这为重症瘫痪病人拓展其与自然的直接交流开辟了新的通道.5位健康的受试者参与了训练实验和在线实验,实验结果表明经过特定的训练,受试者均可有效控制该脑机接口电视遥控系统,其统计平均准确率达87%,平均传输速率(ITR)达35 bits/min.

We propose an algorithm including data preprocessing, feature extraction, and classification. In designing the remote controller with communication function, we develop an electroencephalograph-based （EEG-based） brain-computer interface （BCI） for the asynchronous system of the television remote control. The system can help the patients suffering from Amyotrophic Lateral Sclerosis （ALS） to turn on, turn off, select TV channels and adjust volume using their brain waves. Five healthy subjects took part in train experiments and online experiments; the results demonstrate that the averaged information transfer rate of the system is approximately 35 bits/rain and all the subjects can control the system efficiently with an average accuracy of 87% after a special training of procedure.