nikk-nikaznan/ssvep-neural-generative-models

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

ssvep-neural-generative-models's Issues

What is T in your paper

In fft_ plot.py I want to use my own dataset In fft_ plot.py, but I don't know how to select T

Dataset

Hi,

Is it possible to get access to your dataset, or at least part of it?

Thank you :)

Data_prep.py scipy.signal.filtfilt throws an error

Hi,

Thank you for uploading this code :)

When I try to run in EEG_Gen.py Data_prep.py line 23 throws this error:

The length of the input vector x must be at least padlen, which is 9.
File "C:\work\SSVEP-Neural-Generative-Models\src\Data_prep.py", line 23, in data_process
b, a, input_data[i, :, :], axis=0
File "C:\work\SSVEP-Neural-Generative-Models\src\Data_prep.py", line 55, in
data_class0 = data_process(data_class0)
File "C:\work\SSVEP-Neural-Generative-Models\src\EEG_Gen.py", line 1, in
import Data_prep

I managed to make it work by removing line 8: "input_data = input_data.swapaxes(1, 2)" but I honestly don't know if the data is valid or not.

@nikk-nikaznan Do you know why this happens?

Thank you in advance :)

How to visualize the output?

Thank you for your effort. I have run the solution and generated fake_class0.py. How can i visualize the output? Can you commit sample code?

.

Regarding the input data shape

Hi,

Thanks for this useful work and for sharing the code.
I am trying to run your model feeding the SSVEP data I have. In your example, I noticed the input data is of [10, 2, 1500]. Could you please explain what each of these values represents?

Thanks,
Velu