一种基于多种生理信号的实时控制方法

his paper proposes a multiple bio-neurological signals based real time control approach. In this method, raw multiple bio-neurological signals are first extracted and segmented in the pre-processing. The processed bio-neurological signals will be then evaluated by calculating feature parameters of these signals. Since in bio-neurological signals they may be contaminated by various kinds of artifacts, by means of feature parameters of bio-neurological signals, some artifacts of bio-neurological signals can be indicated. In the proposed method, EOG signal is used to generate control signal, and EEG signal is adopted to assist to make judgment about the valid of EOG signal. With the proposed method, a control software platform was constructed and by means of this platform, simulation work was carried out to control the behavior of a robot in real time. The simulation results verified the effectiveness of the proposed method.