脑电信号左右手运动想象识别.rar
从运动想象脑电信号的特点出发，利用α、β节律事件相关同步化和去同步化特性，对BCI Competition 2008 Dataset 2b数据进行运动想象特征提取和模式识别。对单次被试数据进行各种脑节律提取，功率谱能力分析，用eeglab工具箱进行GUI界面设计。对多次被试数据使用四种常用脑电信号提取算法进行特征提取，包括小波分析法（DWT）、自回归模式法（AR）、功率谱分析法（PSD）和共同空间模式法（CSP），用支持向量机（SVM）分类器进行模式识别分类，用集成学习Adaboosting算法进行分类优化，并设计GUI界面实现上述功能，使用DSP CCS集成开发环境实现仿真模拟。
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