I’m still new in EEG, and I need advice about the strategy of working with available data. The main idea is to recognize whether a person is tired or not. My way of thinking was started from setting max and min frequency filters 8-15Hz because as I read the best for drowsiness detection is alpha wav…

Hello, how long is your recording? Do you have events or did you record resting-state EEG? If you have no events, you could look at alpha power over time and based on the power value (higher alpha power => participants more tired) classify sleepiness in individual participants over time. Maybe tutor…

Hi, thank you for your response. The length of recording is about 2-2.5 minutes. Yes, I have resting-state EEG, but no events. Just EEG and that is all. I checked the power tutorial, so it’s possible as I see to handle only alpha power as I see what will the possible solution for me, right? Best, …

also when I’m trying to get events like below: events = mne.events_from_annotations(raw) and then from mne tutorial: # picks MEG gradiometers picks = mne.pick_types(raw.info, meg="grad", eeg=False, eog=True, stim=False) # Construct Epochs event_id, tmin, tmax = 1, -1.0, 3.0 baseline = (None, 0) …

[image] AndrewG0R: it gives error: TypeError: events should be a NumPy array of integers, got <class 'tuple'> According to the documentation , events_from_annotations() returns a tuple (events, event_id). So you will want to change your call of the function to: events, event_id = mne.events_…

[image] richard: events, event_id = mne.events_from_annotations(raw) thank you for you help, but it still does not have ability to compute psd because of error: ValueError: zero-size array to reduction operation minimum which has no identity but as I see I have some values in epochs, or I…

You only have one epoch… i don’t know if this is actually what you want. And I would assume that this one even gets dropped when you call epochs.load_data() as it’s just the marker at the very start of the recording, so MNE will probably not be able to find a baseline signal.

in general I don’t have any stimuli inside the eeg, just plain recording during some time and that is all. Because of so small amount of features I asked here what to do and how to recognize states of the body. And now after some more context from @CarinaFo and you, I’m trying to build some plots or…

You could create rolling window epochs with mne.make_fixed_length_epochs.

[image] mscheltienne: make_fixed_length_epochs I did the current window, but now when I use such code: epochs = mne.make_fixed_length_epochs(raw) epochs.compute_psd(fmin=2.0, fmax=40.0).plot( average=True, amplitude=False, picks="data", exclude="bads" ) epochs.compute_psd().plot_topoma…

This looks fine to me, what’s your concern here?

How to recognize organism state via EEG?

Support & Discussions

AndrewG0R (Andrii) June 5, 2024, 12:41pm 10

it should be done before plotting or at which place?

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How to recognize organism state via EEG?

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