About the Fs

[hldqiuye123]

I noticed that your flow chart of paper , the size of convolution kernel is defined as Fs/2 , but the model.py 77 Line was written that the real convolution kernel is 50. The SAMPLING_RATE = 256 in sleep_stage.py. Is the actual sampling rate 100 or 256?
I will be looking forward to your reply. :)

[besaman]

the paper used 2 datasets: sleep-EDF with sampling rate 100, and MASS with sampling rate 256 ... so it depends on which one you use.

[WaleedNazih]

Thanks for the nice work.

If I have a dataset with a sampling rate of 256, should I modify the following parts model.py?

# Convolution
# network = self._conv1d_layer(input_var=input_var, filter_size=128, n_filters=64, stride=16, wd=1e-3)
network = self._conv1d_layer(input_var=input_var, filter_size=50, n_filters=64, stride=6, wd=1e-3)

######### CNNs with large filter size at the first layer #########
# Convolution
# network = self._conv1d_layer(input_var=input_var, filter_size=1024, n_filters=64, stride=128)
network = self._conv1d_layer(input_var=input_var, filter_size=400, n_filters=64, stride=50)