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MNE-RT: an open-source real-time neurofeedback/BCI framework
by Payam ·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 -
Periodic noise during use of the Ganglion Board
by giuly_ago ·to study EEG signals recorded from the primary motor cortex. However, before reaching that point, I decided to proceed step by step. I have already performed the following recordings (following the o -
Making a platform where you can sell your EEG data
by Merlin_Krý ·• You complete short, guided EEG tasks (e.g. motor imagery, P300 paradigms) through the platform -
wanted to buy: Cyton + Daisy 16ch — stroke rehabilitation research
by GregBulannikov ·EEG + sEMG platform for post-stroke motor -
Issues with failure to retain data stream and packet loss with a Cyton+Daisy system
by shatch10 ·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 -
Browser-based neurofeedback app detecting real-time coherence states, seeking feedback
by neurokinetikz ·potentially improving classifier performance for motor imagery and other paradigms. -
Experimental Setup Review – Seeking Feedback Before Equipment Purchase
by wjcroft ·Your Summary chart mentions 'motor cortex', yet you have no electrodes at the motor strip (C3 C4 Cz, etc.) -
Experimental Setup Review – Seeking Feedback Before Equipment Purchase
by mckworkman ·groups Bipolar Pre-movement potentials (motor intent) <1 Hz Low µV Ag/AgCl Motor cortex & target muscle Bipolar Fascial contractile rhythms (hypothetical) < -
Non uniform intervals in the timestamps
by sandzzz ·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 -
Neuropype: motor imagery tutorial, questions
by retiutut ·This motor imagery tutorial has been deprecated. -
Cyton (Motor Imagery)
by retiutut ·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. -
How to differentiate 2 items
by wjcroft ·https://openvibe.inria.fr/motor-imagery-bci-with-common-spatial-pattern-filter/ -
How to differentiate 2 items
by aaravsharma ·Okay, I will add more electrodes to my motor strip, and complete the tutorial from Jeremy, thank you!! -
How to differentiate 2 items
by wjcroft ·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. -
How to differentiate 2 items
by aaravsharma ·I am also adding more electrodes focused around the Motor Strip(since I am trying to do Motor Imagery either way). -
How to differentiate 2 items
by aaravsharma ·Okay, I'll take a look at that. Right now I have the Cyton + Daisy, so I have 16 electrodes. I am going to move some of the electrodes from the frontal lobe to the motor strip(since other tutorials ha -
How to differentiate 2 items
by wjcroft ·I suggest patterning your electrode setup after ideas used in the tutorials or other BCI Motor Imagery papers. -
How to differentiate 2 items
by aaravsharma ·Yup, in the modified headset, I made sure to add some around the motor strip as well. Thanks for confirming that! I'll also check out that older tutorial you sent. By the way, most of the electrodes a -
How to differentiate 2 items
by wjcroft ·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. -
How to differentiate 2 items
by wjcroft ·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