Realtime Time Frequency Plotting of EEG data from Muse headset

Compatible with Python 3.x

Compatible with all muse headsets supported by muselsl library

First install muselsl, connect to your muse headset and start a muse stream using

muselsl stream

Then install the realtime_tf package using

pip install real-time-tf

Keep the muselsl stream running and in a separate terminal run

realtime_tf

to visualize the realtime time frequency plot of the streamed eeg data from your muse headset.

The time-frequency plot is shown of 1 second EEG data and the plot is updated every 0.2 seconds by default. But you can update these parameters if required using

realtime_tf --show_time_window NEW_VALUE --update_time_window NEW_VALUE

The muse headset generally has 4 EEG electrodes/channels ('TP9', 'AF7', 'AF8', 'TP10'). By default the time-frequency plot average across all 4 channels is shown. But you can output only the time-frequency plot for a specific channel using

realtime_tf --channel 0

This will output the tf plot for channel 0 which is 'TP9'.

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