作品是基于机器学习的癫痫病预测系统， 该系统首先通过Fourier、PCA降维和提取各通道之间的相关性系数对EEG特征提取，然后利用随机森林、SVM、逻辑回归算法和决策树算法对发作前期和发作间期进行分类，从而获得基于人工智能机器学习预测癫痫病发作概率的模型。在测试时，通过电极获取病人脑电波，经蓝牙从机传输信号给蓝牙主机，蓝牙主机获得的脑电波信号通过STM32单片机串口传输到电脑上位机，上位机是采用Labview设计开发的可视化界面，最后在上位机中可显示癫痫病发作概率和脑电波波形。由于时间较长，代码遗失，故上传保存资料
☆36Apr 23, 2020Updated 5 years ago
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