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I am implementing your paper for EEG classification. The EEG data is of dimension 19x120000 where 19 is the number of electrodes and 120000 are the time points. I would like to understand how this dat…
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Hello @eeyhsong, I have some question as below when I have finished all steps according to Readme file. Now, i want to get the classification results as shown in Figure.3 in the paper, but when i ru…
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### Describe the feature or idea you want to propose
The HHT is a transform sometimes used with EEG and might be interesting for classification of EEG
https://en.wikipedia.org/wiki/Hilbert%E2%80%9…
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I'm not sure about the effect of EEG pretraining. I have directly train a shallow convolution network on `eeg_5_95_std.pth` as used in your paper. And the test accuracy according to max validation is …
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### Title
EEG-Based Sensory Classification using Machine Learning
### Leaders
Linda Fiorini e Francesco Pietrogiacomi
### Collaborators
_No response_
### Brainhack Global 2023 Event
Brainhack L…
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Hi there! Thanks to the incredible work on EEG datasets!
I encountered a problem when I was trying to figure out what
https://github.com/norahollenstein/zuco-benchmark/blob/5ad276d2d075a30e8a474…
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### Describe the feature or idea you want to propose
Riemannian distance and Riemannian classifiers are popular for EEG classification in BCI field. It would be interesting to compare them to tsc a…
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Hi~.Could you please provide the pre-training dataset? Thank you very much.
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### Describe the new feature or enhancement
Hi,
I recently have been looking for a Python library for SSVEP classification, but it seems that there is no such major one offering this feature. Thus…
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Check the Load the .npy file
data = np.load('/content/drive/My Drive/eegdataset/eeg/10000.npy')
Where can I download the eegdataset ?