Awesome

OpenBCI Observable

Reactive OpenBCI for Node

Getting started

This library works with the following OpenBCI hardware:

Get started by importing the library:

npm install --save openbci-observable

const { Cyton, Ganglion, Wifi } = require('openbci-observable');

// Or with an alias...

const BrainObservable  = require('openbci-observable').Ganglion;

Examples

Basic usage

Cyton

const { Cyton } = require('openbci-observable');

async function init () {
    const cyton = new Cyton();
    await cyton.connect();
    await cyton.start();

    cyton.stream.subscribe(sample =>
        console.log('sample', sample)
    );
}

init();

Ganglion

const { Ganglion } = require('openbci-observable');

async function init () {
    const ganglion = new Ganglion();
    await ganglion.connect();
    await ganglion.start();

    ganglion.stream.subscribe(sample =>
        console.log('sample', sample)
    );
}

init();

Wifi

const { Wifi } = require('openbci-observable');

async function init () {
    const wifi = new Wifi();
    await wifi.connect({ ipAddress: 'xx.xx.xx.xx' });
    await wifi.start();

    wifi.stream.subscribe(sample =>
        console.log('sample', sample)
    );
}

init();

Adding operators

** All operators from this library have been migrated to the eeg-pipes project. Now these can be used as "lettable" RxJS operators. **


// npm install openbci-observable eeg-pipes
const { Ganglion } = require('openbci-observable');
const { voltsToMicrovolts, bufferFFT, alphaRange } = require('eeg-pipes');

async function init () {
    const ganglion = new Ganglion();
    await ganglion.connect();
    await ganglion.start();

    ganglion.stream.pipe(
        voltsToMicrovolts(),
        bufferFFT({ bins: 256 })
        alphaRange()
    ).subscribe(buffer =>
        console.log('alpha buffer', buffer)
    );
}

init();

And now we have an FFT buffer of Alpha waves!

Dependencies Prerequisites

Make sure you have Node version >= 7.8 installed for development purpose.