Ssvep及阻断和p300三特征多脑-机接口方法

Multi-brain-computer interface method for three characteristics of SSVEP (Steady State Visual Evoked Potential), blocking and P300

Abstract

本发明涉及医疗器械领域。为能够大幅度的提高系统信息传输率,本发明采取的技术方案是,SSVEP及阻断和P300三特征多脑-机接口方法,包括如下步骤:借助于包括脑电电极和脑电放大器、脑电滤波器的脑电采集系统和计算机实现,其中计算机又包括EEG分析程序和刺激诱发用户界面;使用脑电采集系统采集多通道的脑电数据:脑电信号在大脑皮层产生,由脑电电极探测后经过脑电放大器放大、滤波后输入计算机;采集到得脑电数据再经过后续的数据处理提取相应的SSVEP,SSVEP阻断和P300特征信号,从而将这些特征应用于实验任务的模式识别。本发明主要应用于医疗器械的设计制造。
The invention relates to the field of medical equipment in order to improve the transmission rate of system information greatly. The invention adopts the technical scheme that the multi-brain-computer interface method for three characteristics of SSVEP (Steady State Visual Evoked Potential), blocking and P300 comprises the following steps: adopting a computer and an electroencephalogram acquisition system including an electroencephalogram electrode, an electroencephalogram amplifier and an electroencephalogram filter, wherein the computer further comprises an EEG (Electroencephalo-Graph) analytical program and a stimulation and induction user interface; acquiring electroencephalogram data of multiple channels by using the electroencephalogram acquisition system; generating an electroencephalogram signal from cerebral cortex, detecting the electroencephalogram signal by using the electroencephalogram electrode, amplifying by using the electroencephalogram amplifier, and filtering and inputting to the computer; and carrying out subsequent data process on the acquired electroencephalogram data to extract corresponding SSVEP, SSVEP blocking and P300 characteristic signals, thus the characteristics are applied to mode recognition of experimental tasks. The multi-brain-computer interface method is mainly applied to the design and manufacturing of the medical equipment.

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