I’m currently trying to use Muse to make an audio representations of the 5 brainwaves (alpha, beta, delta, theta, gamma) from a muse reading of a conversation. My issue, which I have seen others discuss here as well, is how to handle the relative differences in power between the waves. Let me use this chart from a session as example:
This chart is made by:
- Recording a session with muse monitor as a csv file
- Opening in excel
- Running the script provide here: http://musemonitor.com/Macro.php
I then convert the resulting data for each brain wave into audio volumes and use this in a audio software to represent which brainwave is most active during the different parts of the conversation.
However, as can be seen in this particular example, the amplitude of the brainwaves are really hard to compare, meaning that even though the relative fluctuation in one specific brainwave is accurate, they don’t seem to be using the same scale and the output is - in this example - dominated by the delta wave. Given that delta waves are most prominent during deep sleep, and this example is from a normal conversation, this seems odd and I’m guessing due to partly the difference in relative power and partly how delta is more sensitive to disturbances such as open eyes. But let’s ignore the disturbances for now and focus on the math.
So here comes the question: does anyone know a mathematical method to make the values use the same scale i.e. so that the amplitudes become comparable? So that a delta wave value higher than a theta wave value actually means that the brain is currently predominated by delta waves than theta waves? In the example above, dividing all delta values with 2 is tempting…
Thanks in advance.