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 Real Time Brain Computer Interface with Rpi
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westinbrodey
Starting Member

USA
1 Posts

Posted - 02/12/2018 :  03:36:54 AM  Show Profile  Reply with Quote
Hello all.
I am starting to play with RPi board, and searching for some good application to do in my MSc study.
Most of you guys have much more experience than me in what could be done with Rpi and what would not be a good idea.
I searched in this forum, but I didn't found anything about this subject.

I was wondering if it is possible to develop a Brain Computer Interface (BCI) system, using the Pi to process data received from an dedicated ADC (ADS1299, from Texas Instruments). I will get data (EEG signals from occiptal lobe during a visual stimulus) from 4 EEG channels at a relatively slow sample rate (about 500 Hz). The raw data needs to be processed using feature extracion algorithms (FFTs, Spectral Density, etc), and classified using neural networks or other classification algorithm (SVM, LDA, etc).

The question is: Ok, Rpi is a powerful board that can do many things. But...based on your experience... Do you think this computational steps is too power-demanding to do in Rpi?

I would appreciate any kind of help.

Thanks






I didn't find the right solution from the internet.
References:
https://www.raspberrypi.org/forums/viewtopic.php?f=41&t=162538

whiteboard videos

Edited by - westinbrodey on 02/12/2018 03:37:15 AM
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