Hi Everyone, I have an EEG signal with 4000x56 data, where 56 is the number of trials and 4000 are the data points.
I am looking to separate data according to frequency ranges (theta, delta, gamma) in python. How can I do this?
Can you kindly let me know how can I get data for different frequency bands?
Thank you.
Hi Krishna Chaitanya Medini
your question is not clear, how you get the signal first? You need an hardware that acquire the signal then you can do something in Python.
Your feedback is highly appreciated. Best Regards. Colin
I already have the data. All I need to know is how to separate signals based on frequency and plot it in python.
In general, the traditional method for extracting frequency bands from a broadband EEG signal is to use a Fourier transform. There are various scripts for this from different EEG analysis software. Most scripts will allow you to change the frequency bins based on your definition (ie delta 1-4Hz, theta 4-7Hz, etc ...)
Thank you very much. I could finally figure out how to obtain the frequency bands from a given EEG signal.
If you do not know MNE-Python1 yet, you will discover there plenty of useful tools to help you with EEG signal processing.
1https://mne.tools/stable/index.html
It's been some time now since i've processed EEG's signals, but if i'm not mistaken many of the methods for signal processing, such as a Fourier Transform assume the underlying signal is stationary. Thus is was usually prudent to first check that the EEG being processed is in fact stationary; one technique was a Runs's test.
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