dalinzhangzdl / bci_mi_wavelet_cnn Goto Github PK
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License: MIT License
Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
License: MIT License
你好!请问你是如何计算得到dataset_BCIcomp1_bandpassfilter.mat,能否介绍一些细节,因为我使用你的代码,dataSetfile 使用的是BCI II dataset 3 \dataset_BCIcomp1.mat,然后后面所得的可视化图片和结果都和你的有出入,精度一开始就是80然后几乎不变,loss是上升的。
求大佬指点,谢谢。
你好,从你的代码里学到很多!想请问下你尝试过在BCI competition IV 2a 上的实现吗,我试了一下,发现无法达到论文中的精度,看了一下提取的特征图像,感觉是提特征的时候的问题,请问你遇到过这样的问题吗
你好,zhang同学:
在使用您的代码进行小波变换时,有个小疑问不太明白,您的代码如下,为何您这里截取7到30 个点进行合并。
cwtmatr = np.concatenate([abs(cwtmatr3[7:30,:]), abs(cwtmatr4[7:30,:])],axis=0)
非常希望您能得空解答我的疑惑,先谢谢您啦!
Hi there, i tried your model for BCI 4 2a dataset and for me, it is not learning as the maximum accuracy that was achieved was 0.34.
Can you please provide the notebook for the BCI competition 4 2a dataset?
你好,请问2003.pkl找到了吗,我很困惑那段被b没被定义的那段代码?
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