一个大脑计算机接口(BCI ) 基于电的轮椅控制系统被开发,它使用户能向前或向后移动轮椅,并且向左拐或就没有任何东西预先学习。这个控制系统使用当眼睛关门让超过 1 s 为轮椅运动的开关控制组成 BCI 时,在脑电图(EEG ) 堵住的 alpha 波浪的振幅改进。系统被 BCI 控制面板,数据获得,信号处理单位和接口控制电路形成。八个志愿者根据预设线路参予了轮椅控制实验。试验性的结果证明所有这些题目的吝啬的成功控制率是 81.3% ,与最高的到达 93.7% 。当一个题目被触发时间是 2.8 s 时,即,每盏周期灯的闪光的时间是 2.8 s,平均信息转移率是 8.10 bit/min,与最高的到达 12.54 bit/min。
A brain-computer interface (BCI) -based electric wheelchair control system was developed, which enables the users to move the wheelchair forward or backward, and turn left or right without any pre-learning. This control system makes use of the amplitude enhancement of alpha-wave blocking in electroencephalogram (EEG) when eyes close for more than 1 s to constitute a BCI for the switch control of wheelchair movements. The system was formed by BCI control panel, data acquisition, signal processing unit and interface control circuit. Eight volunteers participated in the wheelchair control experiments according to the preset routes. The experimental results show that the mean success control rate of all the subjects was 81.3%, with the highest reaching 93.7%. When one subject's triggering time was 2.8 s, i.e., the flashing time of each cycle light was 2.8 s, the average information transfer rate was 8.10 bit/min, with the highest reaching 12.54 bit/min.