Wu Shang-Lin, Liao Lun-De, Liou Chang-Hong, Chen Shi-An, Ko Li-Wei, Chen Bo-Wei, Wang Po-Sheng, Chen Sheng-Fu, Lin Chin-Teng
Institute of Electrical Control Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1793-7. doi: 10.1109/EMBC.2012.6346298.
The traditional brain-computer interface (BCI) system measures the electroencephalography (EEG) signals by the wet sensors with the conductive gel and skin preparation processes. To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channel EEG-based BCI system is proposed in this study, including the wireless EEG data acquisition device, dry spring-loaded sensors, a size-adjustable soft cap. The dry spring-loaded sensors are made of metal conductors, which can measure the EEG signals without skin preparation and conductive gel. In addition, the proposed system provides a size-adjustable soft cap that can be used to fit user's head properly. Indeed, the results are shown that the proposed system can properly and effectively measure the EEG signals with the developed cap and sensors, even under movement. In words, the developed wireless and wearable BCI system is able to be used in cognitive neuroscience applications.
传统的脑机接口（BCI）系统通过带有导电凝胶和皮肤准备过程的湿式传感器来测量脑电图（EEG）信号。为了克服传统湿式传感器BCI系统的局限性，本研究提出了一种基于无线可穿戴多通道脑电图的BCI系统，包括无线EEG数据采集设备、干式弹簧加载传感器和尺寸可调的软帽。干式弹簧加载传感器由金属导体制成，无需皮肤准备和导电凝胶即可测量EEG信号。此外，所提出的系统提供了一种尺寸可调的软帽，可用于适当地贴合用户的头部。事实上，结果表明，即使在运动状态下，所提出的系统也能够通过开发的软帽和传感器正确有效地测量EEG信号。简而言之，所开发的无线可穿戴BCI系统能够用于认知神经科学应用。
