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android-diagnostic-app's Introduction

WARNING! DO NOT CONNECT THE SMARTPHONEBCI IF YOUR PHONE IS CHARGING! THIS COULD KILL YOU IF THERE'S A MALFUNCTION

ICIBICI

Icibici is a hardware / software platform born with the intention of Developing an EEG under £20.

This is the Software Repository for the smartphone BCI Project Android App

This repository is part of a Hardware - Software system:

The Android app

This is the Android app for the icibici project. It allows to visualise the data read from the Icibici hardware and it is under heavy development.

There are three tabs (change from one to another by swiping)

EEG frequency analysis from the bipolar electrode: Frequency analysis

Power of the alpha band over time Power of the alpha band

There should be two big peaks in the sanity check (electrodes not yet attached to head), one around 0 and one around 50Hz (or 60Hz depending on your electrical mains) Sanity check

TODO:

  • Use a C/C++ fft implementation.
  • Move the driver functionality to a separate project so it can be easily used in other apps.
  • The code is a bad state due to different rushes and time constrains, it needs a clean up.
  • The alpha viewer should baseline to the self band not to the relative values

android-diagnostic-app's People

Contributors

capitancambio avatar dsikar avatar jmanart avatar pssuils avatar

Stargazers

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Watchers

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Forkers

jmanart dsikar noriksolutions pssuils kamitor lizette68

android-diagnostic-app's Issues

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.

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!

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).

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.?

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

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