How to filter and analyze Cyton EEG signals in Python?
I have collected EEG signals from Cyton (+Daisy) board and imported the EEG data in Python. However, there are a lot of artifacts in the signals. I have come across techniques such as bandpass filter and notch and SARA algorithm. Is there a package in Python that makes it easy to remove artifacts by applying different filters, and makes analyzing EEG signals easier?
Comments
Hi, Arathee2,
Checkout the DSP filters built into Brainflow.
https://brainflow.readthedocs.io/en/stable/Examples.html#python-signal-filtering
William