Muse algorithms


#1

Hi everyone!

I’m just a muse user. We are developing an app thank to sdk provided by Muse team. But I would like to know if the data we are getting from muse (eeg) have a processing before that I get it in the app. I want to know if there is an algorithm, a classifiers, a filter, or if it will be the “black box”. I have to justify my project.

Any help will be useful to finish


#2

AFAIK, for raw EEG, this is just a voltage in microvolts. There is also notch-filtered eeg, where filter removes everything with freq. 44-65 Hz.


#3

hello,
question: eeg raw data has one channel per each position (4). How does this data relates to AUX_RIGHT channel?


#4

AUX_RIGHT is the right USB port Auxiliary EEG. You can connect a single wire electrode and get another EEG signal.


#5

Thanks! In my case, I didn’t use usb cable, but I still got that column with data, in all my records


#6

It doesn’t need to be connected to generate data. It’s still a fully functioning EEG sensor, it’s just not touching your skin.


#7

As I understand, EEG data comes from voltaje difference in forehead skin. In the air there is no voltaje difference so it should’t record anything…


#8

No. Being unconnected and grounded are very different things.


#9

what’s the difference?


#10

Google “why do you need pull up and pull down resistors” and read the bits about floating wires. There are lots of articles on this, so I didn’t want to add just one link!


#11

cool, thanks!