Use cases it’s built for: neurofeedback research, real-time BCI/motor-imagery decoding, and any closed-loop paradigm needing live feature extraction + adaptive feedback + artifact correction in one pl

• You complete short, guided EEG tasks (e.g. motor imagery, P300 paradigms) through the platform

I have been working on a system for the collection of EEG data from participants during mental imagery tasks. I am using a Cyton+Daisy system for recording the EEG data. I have been using an LSL to re

improving classifier performance for motor imagery and other paradigms.

As I am into preparing the EEG dataset for Motor Imagery task, accurate, millisecond-level timing is crucial with perfectly regular timebase. While I understand that some of these issues are due to th

This motor imagery tutorial has been deprecated.

The Motor Imagery tutorial in the original post has now been officially deprecated and is no longer supported. This is due to lack of support for solving issues in this tutorial.

https://openvibe.inria.fr/motor-imagery-bci-with-common-spatial-pattern-filter/

My impression is that Jeremy only used the 'artifact' generation (teeth, blinks) as examples. He definitely goes on to train left / right Motor Imagery detection.

I am also adding more electrodes focused around the Motor Strip(since I am trying to do Motor Imagery either way).

I suggest patterning your electrode setup after ideas used in the tutorials or other BCI Motor Imagery papers.

Also to note, if you look at the example links, you can see that they concentrate most electrodes around the motor strip. This is where Motor Imagery classification is detected best.

Normally Motor Imagery BCI is done with using left or right hand movements. This is because the lateralization of the motor centers makes it easier to detect. Your open/close method does not have that

Hey guys, I am also following the tutorial for motor imagery, does anyone know where to find the file called: motorimg_calibrate.py ?

If you want a free working BCI (including tutorials) that is much better than Motor Imagery, see the MindAffect cVEP tutorials on the Community page.

The Motor Imagery tutorial author ( Jakati ) is not answering any questions on his tutorial.

The Motor Imagery tutorial author ( Jakati ) is not answering any questions on his tutorial.

I am trying the "Moto Imagery Tutorial" the link to the tutorial is: https://docs.openbci.com/Examples/EEGProjects/MotorImagery/

I can't comment on your motor imagery setup. But in general, MI is much less user friendly than other BCI paradigms such as SSVEP or cVEP. These latter systems allow many more choices for the operator

I'll be moving forward with this method, but I'd also like to verify my process for motor imagery ERD. I've attached the MATLAB code for plotting ERD where I calculate time in seconds, notch filter th