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DOC: add model and topo to eegeyenet tut #6

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Nov 6, 2023
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21 changes: 21 additions & 0 deletions examples/plot_eegeyenet.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,31 @@

# %%
# Import the necessary packages
# ----------------------------
from eoglearn.datasets import fetch_eegeyenet
from eoglearn.io import read_raw_eegeyenet
from eoglearn.models import EOGDenoiser
import mne


fpath = fetch_eegeyenet()
fname = fpath / "EP10_DOTS1_EEG.mat"
raw = read_raw_eegeyenet(fname)
raw

# %%
# Plot the raw data
# -----------------
raw.plot()

# %%
# Create and fit model
# --------------------
eog_denoiser = EOGDenoiser(raw, downsample=5)
eog_denoiser.fit(epochs=10) # limit to 10 epochs for speed

# %%
# Plot A topomap of the EOG activity
# ----------------------------------
montage = mne.channels.make_standard_montage("GSN-HydroCel-129")
eog_denoiser.plot_eog_topomap(montage=montage)
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