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/

Where is your reference electrode and Bias/Ground electrode? Are you using gel or paste? Since these PREP waveforms are located on the motor strip (most experiments using Cz ?), the farther from that

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

Functionality: Users could write algorithms to detect specific brain wave patterns (e.g., alpha, beta, theta waves) or events like blinks or motor imagery.

I would also like to mention that putting the files in playback mode does give me the expected signals, so somehow the values do reflect uVrms I'm just not sure how. Also I've been reliably observing

Resampling my EEG data to 60 Hz can be highly beneficial for my motor imagery analysis without causing significant loss of important information. The key frequencies involved in motor imagery tasks pr

Another thing you could try if you do not yet have ear clips, is to just swap the GND and REF on your cap. That will put REF farther away from the most important areas near the motor strip. Thus incre

One other aspect to note, and might explain your low amplitude ~2uV sample values: you placed your reference at CPz. This is very close to the motor strip activity that you want to record. That is not

It's possible that your selection of electrode positions is not 'optimal' for motor-strip-sensing applications. (your Frontal, Parietal, Occipital locations have less helpfulness than those locations

https://docs.openbci.com/Examples/EEGProjects/MotorImagery/

I've been wondering if it's possible for me as an amateur to get imagery from the motor cortex areas that correspond to both arm movements. I would like to write a software to do some experiments usin

I'm wondering if they catch the sentiment or subtle motor-related signals from subvocalization. Especially since the paper is very "words" focused. If you search the paper, "thoughts&qu

I'm sorry, but that Motor Imagery tutorial is not being supported by the author. I only gave that link as an EXAMPLE of how he linked NeuroPype to the output of OpenBCI_GUI LSL stream. You're going to