- MNE version: 1.5.0
- operating system: Windows 10
- Python version: 3.11.4
- MNE-Connectivity version: 0.5.0
Hello, everyone.
I’m getting confused when creating epochs out of my raw file. My ECG recordings are in .edf extension and I want to analyze only segments of 20 seconds in order to have 1 second-length epochs. I used the function mne.Annotations() to set the time where I want my signal to be analyzed and then created the epochs as follow:
segmentos_raw = mne.Annotations(onset = [368,466,487,507,528,549,594,748,769], duration = [20], description = ['1','2','3','4','5','6','7','8','9'])
raw.set_annotations(segmentos_raw)
event_1s = mne.events_from_annotations(raw)
epoc_1s = mne.Epochs(canales, event_1s[0], tmin=0, tmax=1, baseline=None)
conect = spectral_connectivity_epochs(epoc_1s, method='coh', sfreq=Fs, mode='fourier', fmin=8, fmax=13, faverage=True)
Does mne.Epochs() and mne.spectal_connectivity_epochs() creates the epoch where the events start or does it take all the data from the signal?
I don’t know if using raw.crop(tmin, tmax) to select the desired segments and mne.make_fixed_length_epochs() is more suitable for connectivity calculation?