There are advantages to this approach: (1) the Cyton on one serial port streams data to, (2) the GUI or other laptop program which does the signal processing and finally (3) the GUI or other laptop pr

One of the papers above DID manage to extract high gamma, however they used 27 channels, source localization, etc. In other words extremely complex and advanced signal processing to pick the signal ou

I asked because I'm thinking about what frequency band we should be extracting from our common spatial patterns features. One of our project advisor's students suggested filtering on a single 0-100 Hz

Individual facial motor units would not generally be expected to fire at over 100 Hz. Higher apparent frequencies are due to overlapping of many motor units. So at that point why not use the summed am

I am using an OpenBCI Cyton to do motor imagery tasks. I have well received all the stuff I bought and all is working well. I am also using openVibe for the classifiers. Now, I am wondering how to get

How can you turn a servo motor based on signals from the brain?

I have some mouvement artefact too everytime I ask the people to make a motor response (squeeze a dynamometer).

Note that your EMG will be measuring muscle activity, not the cranial nerves directly. Imagined movements are another area called "motor imagery", see this recent thread,

La placian filter is a filter where you give some wight to the channels. It is usually used for Motor imagery. the channels of interest is C3 and C4 (right / left movements). 

What sort of classification accuracy have you been getting for motor imagery or any 2-class classification problem with Ganglion or Cyton?

I've been working with the motor imagery set of example scenarios in OpenViBE. I'm able to record the training brainwave data from Ganglion.

Quite a few posts on the forum here on what is called "motor imagery",

On the other hand there are some posts on Motor Imagery, use the Advanced Search box in the right column.

I am a student currently working on a project on BCI trying to quantify the ERD ERS from motor imagery tasks.

EEG is working at microvolt levels. So for example if you were trying to drive a stepper motor or servo, those signals could conceivably produce crosstalk with the EEG.

https://www.google.com/search?as_q=motor+imagery&as_sitesearch=openbci.com

my proof-of-concept work for reading from the motor cortex.

context of that area of the brain. 'motor cortex' is just a term that describes a band-like area over the top of your head from ear to ear, from which you can get motor activity readings, which are u

When I say all I/O processing going through the brain, I mean everything from motor control being read from the motor cortex to vision being fed through the visual cortex.I'd suggest looking at the Ne

To be honest, I think what I need right now, to start on the proof of concept, is advice on what EEG setup to get, to accurately read from specifically the motor cortex (for now).