I'm learning about brainwaves for the first time. As an experiment, I used an Android app called MuseMonitor to record brainwaves from my Muse headband. The MuseMonitor displays 5 brain waves in real time, which are the alpha, beta, delta, gamma and theta waves all on the same screen but each line with different colors.
When I downloaded the CSV file from MuseMonitor, I noticed a spreadsheet full of data with these columns:
AlphaTP9 AlphaAF7 AlphaAF8 AlphaTP10 BetaTP9 BetaAF7 BetaAF8 BetaTP10 DeltaTP9 DeltaAF7 DeltaAF8 DeltaTP10 GammaTP9 GammaAF7 GammaAF8 GammaTP10 ThetaTP9 ThetaAF7 ThetaAF8 ThetaTP10 RawTP9 RawAF7 RawAF8 RawTP10 HSITP9 HSIAF7 HSIAF8 HSITP10
Based on some research lately, I understand that TP9, AF7, AF8 and TP10 denote electrode locations. And that each electrode will record the electric potential differences over time of its own location. My guess is that each wave recorded by an electrode is probably a super-position of alpha, beta, delta, gamma and theta waves.
So my question is whether it is standard in the neuroscience sector to analyze brainwaves in the format that MuseMonitor displayed it? That is to render one line graph for each of alpha, beta, delta, gamma and theta? If so, is there and/or what is the standard formula on how to transcribe the AlphaTP9...HSITP10 data into the alpha,beta,delta,gamma and theta waves? Is an alpha wave just the average of alpha wave values across all existing electrodes?
NOTE - I want to explore how brain-computing-interface technologies a bit later, using neuro-headsets to manipulate microcontrollers and such. Hence my desire to learn how these brain waves are normally represented.