Annotations after downsampling

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Hi everyone,

I’m working with concatenated EEG data using mne.concatenate_raws and have created annotations marking the start and end of each segment. After downsampling the data due to high sampling frequency (which was affecting the ICA analysis performance), I noticed that my annotations were lost/incorrect.

Is there a way to preserve the annotations when downsampling the data? Any suggestions or best practices for handling this would be greatly appreciated!

Thanks

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The resample method allows you to do both at the same time. You could do something similar to this:

events, event_id = mne.events_from_annotations(raw, use_rounding=False)
data_ds, events_ds = raw.copy().resample(sfreq=ds_freq, events=events)
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Thanks for the answer. This worked perfectly.
I tried many things but transforming the annotations to events and then downsample. Thanks :slight_smile:

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