Eeg-based Medical Assistant Systems with a Wireless Scheme

In this thesis, the use of electrodes to capture the human brain electroencephalogram (EEG) signals through a BCI (Brain Computer Interface BCI) was proposed. In our BCI system, hardware and software were combined to extract brainwave information to control the medical assistant systems by means of bluetooth interface. Several medical assistant systems such as EEG-based toy car with the attention signal, brainwavecontrol electric bed, and EEG-based electric wheelchair were proposed. Brainwave extraction and analysis, hardware and software implementation, and system testing are also demonstrated in this thesis. The main contribution of this thesis is to design systems by means of FPGA chip in order to shrink the size of the hardware. Experimental results have shown that our system really can be use brain waves to control medical assistant systems. We hope that the patients can only use brain waves and facial movements to control medical assistant systems like electric wheelchairs without going through the operation of the hands.