Development of Wearable and Wireless Motor Imagery-based Brain Computer Interface with Channel-selection
|關鍵字:||腦機介面;運動想像;通道選擇;空間濾波器;Brain Computer Interface;Motor Imagery;Channel Selection;Spatial Filter|
Electroencephalograph (EEG)-based brain computer interface (BCI) is a communication pathway between the brain and external devices. Many BCIs with spatial filter and channel selection have been successfully proposed to effectively extract the EEG feature and reduce the EEG channel number. However, most of these BCIs still require the bulk EEG machine and multi-channel EEG signals to perform spatial filter and channel selection. And the conventional EEG electrode with conductive gels is usually used to acquire EEG and this will also cause the inconvenience of the use in daily life. In this study, a wearable and wireless channel selection motor imagery-based brain computer interface (CSMI-based BCI) was proposed. Here, an EEG sensing device with active dry electrodes was designed to acquire EEG without conductive gels. And a wireless EEG acquisition module was also proposed to perform the spatial filter and channel selection directly to reduce the computational complexity and the loading of transmission effectively. Finally, the experiment of motor imagery was tested to evaluate the performance of CSMI-based BCI.
|Appears in Collections:||Thesis|