Comments (4)
Hi Xiaoke,
The ripple detectors take in the filtered lfps as input. So if you've filtered your data between 80-125 Hz, then it should work.
from ripple_detection.
Dear edeno,
I am so happy to receive your reply. Thanks for your answer.
I want to apply Karlsson_ripple_detector to the magnetoencephalogram of epileptic patients to detect 80-125Hz ripples.
Besides filtering parameters, do you have any good suggestions on setting zscore_threshold and smoothing_sigma?
Moreover, could I ignore the calculation about the speed_threshold?
I'm looking forward to your earliest reply.
Yours,
Xiaoke
from ripple_detection.
Ah, I see. Well I don't know much about what thresholds would work for human patients. I would look at this paper: https://www.nature.com/articles/s41467-022-33536-x
You can ignore the speed threshold by setting it ones or some value under the current speed threshold.
from ripple_detection.
Dear edeno,
Thank you for your kind proposal, which is important to me.
Yours,
Xiaoke
from ripple_detection.
Related Issues (7)
- Reading raw neuropixels data into python HOT 3
- filter_ripple_band assumes there are nans in lfp array and throws an error if there aren't any. HOT 2
- All detectors are giving axis out of bounds errors HOT 1
- add ripple amplitude to output table HOT 1
- Issue with filter_ripple_band padlen HOT 3
- Add ripple size metric
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