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Biomedical signal monitoring systems have been rapidly advanced with electronic and information technologies in recent years. However, most of the existing physiological signal monitoring systems can only record the signals without the capability of automatic analysis. In this paper, we proposed a novel brain-computer interface (BCI) system that can acquire and analyze electroencephalogram (EEG) signals...
In this paper, we propose an embedded multi-task scheduling system to make the wireless brain computer interface to real-time receive electroencephalogram signal more accurate. This method we propose also can increase the flexibility of the system. Base on the method, we can change the peripheral devices easily. And the tasks are taken as modules, so it also can increase the flexibility of system...
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