Last Updated on September 29, 2023 by pg@petergamma.org
Ildar Rakhmatulin is for further cost reduction by proposing a Raspberry Pi based device for reading EEG signals.
The device is presented in this paper:
“PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals”
https://arxiv.org/ftp/arxiv/papers/2201/2201.02228.pdf
- and compared to the signal-to-noise level of the ADS1299 chip produced by Texas Instruments in one of Ildar Rakhmatulin’s papers:
https://scholar.google.com/citations?user=L8q-KSoAAAAJ&hl=de&oi=ao
The PIEEG:
- has a satisfying noise level and accuracy of detected artifacts in the signal
- It was tested and confirmed to successfully resist the effect of electromagnetic interference
- It can successfully detect the alpha brain wave, and detect the P300 paradigm
https://ildaronra.wixsite.com/ildar
- alpha brain waves correlate with a calm state of mind. Other devices which can be used to measure alpha waves are OpenBCI boards which where used for instance by Krisztian Hofstadter in his PhD. thesis, where he measured alpha waves induced by listening to music. In a YouTube video demo Krisztian Hofstadter showed that a Greentek EEG cap with 2 EEG channels connected to an OpenBCI Cyton board are sufficient to show a graph which shows an increased alpha wave activity when Krisztian was listening to music (see in our journal).
- Also the Mind Monitor app by James Clutterbuck which is used with the Muse Headband can measure alpha waves. The Muse headband has 4 EEG channels, as the PiEEG version which will ber released this November. What can be done with the Muse Headband should also be possible with the PiEEG with 4 EEG channels. Thes devices have similar specifications. But the advantage of PiEEG is that it does not require a WIFI or Bluetooth connection, since it is a Hat which is directly connected to a Pi SBC.
- A further advantage or PiEEG over the Muse headband is, that Interaxon does not offer an SDK anymore, but PiEEG offers easy programming with the provided open-source software for reading and processing data in Python, C, and C++.
- PiEEG can be used for many more applications which are described on the homepage about PiEEG:
The PiEEG which will be shipped in November 2023 offers a Pi hat with 4 EEG channels for 250 USD:
https://www.crowdsupply.com/hackerbci/pieeg#products
It requires additionally a Raspberry Pi single board computer and advanced coding skills. According to the paper which was aleady mentioned above:
“PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals”
by
Ildar Rakhmatulin – PhD electronic researcher
Sebastian Völkl – Brain-Computer-Interface developer
which was published in:
https://arxiv.org/abs/2201.02228
PiEEG has no conflicts of interest, is not funded and does no require an ethical approval.