会议专题

Design and implementation of a BCI System based on steady-state visual evoked potentials

In recent years, Brain-computer interface (BCI) based on electroencephalogram (EEG) is an active topic in brain function research. BCI provides a direct communication and control channel for sending messages and instructions from brain to external computers or other electronic devices. However, the EEG signals are very faint and often corrupted by noises such as power line noise, EMG, EOG etc.. EEG signal acquisition is very critical for the BCI system. In the paper, a circuit for EEG signal acquisition is designed. The circuit module is mainly composed of protection circuit, instrumentation amplifier, common mode rejection (CMR) circuit, gain adjustable amplifiers and filters. Finally, a BCI system based on SSVEP sets up by this hardware circuits platform. The experimental results show that the circuit is effective with good amplification ability and high CMR, and it is very suitable for the BCI system.

Zhang Lei Guo Xiao-jing Wu Xiao-pei

Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui Universit Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui Universit

国际会议

The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

成都

英文

1-4

2010-06-18(万方平台首次上网日期,不代表论文的发表时间)