Calibration

[lukemorse]

Is your feature request related to a problem? Please describe.
No.

Describe the solution you'd like
It would be great to have a calibration feature similar to what Muse has done with their own app.

[LuukEbenau]

I agree with that this is a quite manatory feature, which most people would need. However i'm not quite sure how we can implement this feature properly.

One potentional implementation:

1. Add a Calibrate(seconds) method to the Muse class.
2. Add a signaladdress for Eeg_calibrated (or per frequency range, like SignalAddress.Delta_Calibrated, enz.)
   This allows subscribing to the calibrated signals.

I am also not quite sure yet how to implement the calibration method. Anyone some suggestions for algorithms which can be of use?

[lukemorse]

I found this in the forum: http://forum.choosemuse.com/t/favorite-algorithms-for-eeg-features-analysis/487/4 Calculating the mean and standard deviation is easy enough, but he says he feeds it into a leaky-integrator. I looked it up and it seems a bit outside of my skill set.

…

On Sat, Jan 26, 2019 at 9:35 PM Sacation ***@***.***> wrote: I agree with that this is a quite manatory feature, which most people would need. However i'm not quite sure how we can implement this feature properly. One potentional implementation: 1. Add a Calibrate(seconds) method to the Muse class. 2. Add a signaladdress for Eeg_calibrated (or per frequency range, like SignalAddress.Delta_Calibrated, enz.) This allows subscribing to the calibrated signals. I am also not quite sure yet how to implement the calibration method. Anyone some suggestions for algorithms which can be of use? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#6 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AQ15Ma3sGiFW1GuLisp3iVBecK9qyXIuks5vHGeVgaJpZM4aUDSU> .

[LuukEbenau]

It's also not really inside my own toolset, but perhaps I (or someone else) can make an initial suboptimal version of an calibration method, which can be improved by someone more experienced.