android-diagnostic-app's People
android-diagnostic-app's Issues
Distinguishing the channels
If we could differentiate data from channel 1 and channel 2 and view it simultaneously we will be able to run lateralisation-based NFB (e.g. left beta up right beta down).
ERP detection / presentation
Is it realistic to implement at some point?
Recording and saving data
I'd suggest the following formats: CSV, EDF/EDF+ and wav.
The latter can be the easiest to do for an audio jack input and opens some nice possibilities, including editing and analysis in Audacity, and replay.
Readme assets
APK posting
Would it be possible to place a complete .apk in the repository of the diagnostic app? The open source code is truly appreciated, but from my perspective, I would need to setup/learn Android studio to generate the .apk.
Thanks much!
Hardware DC filter
This is the only hardware suggestion I am proposing. It should not be difficult to do and I can check how we did it for the old hackathon. This can be a simple separate very cheap module which goes in between the trodes and the BCI. The advantages it will provide are:
- getting rid of GSR and similar artefacts
- enabling simultaneous EEG and tDCS
5 Hz peak
If we could find the origin of this peak and remove it, enabling high pass at 2 or 1 Hz, then we can access delta and low theta, which is very useful.
Selection of band range to show any band power
Alpha shows quite nicely even in frontal areas now.
If we could select any frequency range to monitor it will be great.
I'd suggest custom frequency range selection rather than the standard bands: what if someone wants to monitor only the higher end of alpha (10-12 Hz) for NFB etc.?
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