IMPORTANT!
The information here only applies to the 2016 MUSE pictured on the right. It is easily identifiable by the shape and the logo written in BLUE. InterAxon calls this the "Original Muse". |
Our 2017 paper while groundbreaking is now a bit outdated and only works on the 2014 MUSE with muse-io. Here we are going to publish information how to do research with the MUSE and our currently working solution using the Lab Streaming Layer. It is important to realize that there are TWO current solutions that we support.
Solution ONE: PEER (Portable EEG ERP RESEARCHER)
PEER is an iOS app developed in a partnership between the Krigolson Laboratory and SUVA Inc. The PEER app allows researchers to collected EEG and ERP researcher. In terms of ERP paradigms, researchers have the option to run the visual oddball paradigm (four version: no response, one response, two response, and go-nogo). In app purchases allow researchers to run audio oddball paradigms, a reward gambling doors task, and even odd board single subject data analysis. The recording of continuous EEG including the insertion of event markers is also supported. Researchers can export data in a variety of formats for analysis in EEGLAB or Brain Vision Analyzer. For more on PEER click HERE.
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SOLUTION TWO: LAB STREAMING LAYER
The other solution for running experiments with a 2016 MUSE headband is a bit more complicated and involves multiple code installations and tools developed by Chad C. Williams, Kyle Mathewson, and the Lab Streaming Layer. Credit also needs to be given to Alexandre Barachant for all of his seminal work with this project.
Essentially, how this works is that the 2016 MUSE will stream data to an Apple laptop (you need a BLED112 Bluetooth adapter). Python code will then stream the incoming EEG data to LSL's Lab Recorder which you can record. For ERP experiments you can send markers via the LSL stream to Lab Recorder to mark events.
1. You will need a BLED 112 Dongle as the 2016 MUSE uses Low Power Bluetooth and thus need a specific adaptor to make the connection.
2. Next, you need to use specific Python code developed by Alexandre Barachant / Kyle Mathewson to create a data stream that is visible in Lab Recorder. With Chad William's code installed from MATLAB you can run LSL_MUSE_InitiationLR.m to start the data stream from the MUSE to Lab Recorder.
3. Open Lab Recorder and you should be able to see the MUSE data stream. To make your life easier there is a precompiled version of Lab Recorder HERE (note, this should run but you may have to recompile it yourself).
4. If you want to do ERPs, run your experiment in MATLAB. To send event markers you will need to use Chad William's marker streaming toolbox (MUSE LSL Matlab Tools).
5. Back in Lab Recorder, make sure you can see the data stream and the marker stream and then hit record. If you do this, you should be generating continuous EEG data files with markers so you can do ERP research!
REQUIRED HARDWARE AND SOFTWARE
HARDWARE
1. Apple laptop computer (note, old and the latest versions of OSX are not supported - you need to be running OSX 10.13.1 to 10.13.6).
2. BLED 112 Low Power Bluetooth Adapter
3. 2016 MUSE
SOFTWARE
1. MATLAB
2. XCode
3. Anaconda
4. Lab Recorder (or compile your own version from HERE)
5. MUSE LSL Tools
6. MUSE LSL Matlab Tools
1. Apple laptop computer (note, old and the latest versions of OSX are not supported - you need to be running OSX 10.13.1 to 10.13.6).
2. BLED 112 Low Power Bluetooth Adapter
3. 2016 MUSE
SOFTWARE
1. MATLAB
2. XCode
3. Anaconda
4. Lab Recorder (or compile your own version from HERE)
5. MUSE LSL Tools
6. MUSE LSL Matlab Tools
For additional help see the full set of instructions developed by Chad Williams HERE.