Closed FormerRiptide3 closed 1 year ago
您好,我的研究方向是脑电信号情绪识别,您提到的SEED系列数据集我先前也进行过大量试验,关于本项目作者的另一个项目EEG-Transformer项目我也有所研究,针对您的问题,我似乎有解决方案,但是想与您沟通一下,如您同意,请添加我的QQ:384068026
Hello, @Riptide3, Sorry, the code for SEED has not been prepared well. This part also uses only band-pass filter and standardization for preprocessing, without data augmentation (due to enough data). And we choose 5-fold cross-validation instead of using 9 trials for training and 6 trials for test.
Hello, @384068026 You can directly use Confomer, which is more reasonable than the previous one.
非常感谢您的答复,我想问的问题是seed数据集上进行实验只需要将数据按照1s的时间窗大小来切片然后堆叠成getData.m输出的那个结构就可以了是吗?模型内的参数什么的需要调参吗?然后用kflod来分配数据就可以了吧?您方便提供一些这些代码吗?如果您还未打算开源这一部分,我将自己尝试。非常感谢您的贡献
@384068026 您好,是这样的。seed上我没有进行较详细的调参,感兴趣的话您可以尝试一下。这部分没有整理好,暂时不release了,非常抱歉
Can you please share your preprocessing and training code about the SEED dataset? Especially in the data loading and augmentation part, many parameters are hard-coded, its hard to understand.