What can we learn from Indonesian scientists who built multi-channel EEG devices from the TI ADS1299 EEG demo kit & SBCs such as the Raspberry Pi?

Last Updated on September 10, 2024 by pg@petergamma.org

They did this in several papers, for instance in these two:

EEG data acquisition system 32 channels based on Raspberry Pi with relative power ratio and brain symmetry index features

https://pubs.aip.org/aip/acp/article/2193/1/050003/889261/EEG-data-acquisition-system-32-channels-based-on

Development of electroencephalography (EEG) data acquisition system based on FPGA PYNQ

https://pubs.aip.org/aip/acp/article-abstract/2092/1/020026/846410/Development-of-electroencephalography-EEG-data

• The comparison between the developed system and Neurostyle NS-EEG-D1 System acquiring the same EEG data shows correlation parameter gradient of 0.9818, y-intercept with -0.1803, and R squared of 0.9742 based on the least square analysis.

The parameter above indicated that the developed system was adequate enough, if not on a par, with the commercialized, medical grade EEG data acquisition system Neurostyle NS-EEG-D1 as the system assured and maintained accuracy with higher sampling frequency

• A FPGA PYNQ-based 32-channel data acquisition system to acquire and process EEG signal has been built, utilizing the Front-End ADC ADS1299EEG-FE connected with SPI in daisy-chain configuration.

From the results of the signal shape comparisons for channels O1, FP1, and P3, the signal forms obtained between acquisition systems made with NEUROSTYLE, show similar shapes.

• The research is supported by Ministry of Research, Technology, and Higher Education of the Republic of Indonesia, PDUPT Research Grant 380/UN2.R3.1/HKP05.00/2018 and Universitas Indonesia.

see also the discussion here:

EEG headsets which are connected over cable: Neurofax EEG-1200 & Emotiv EPOC Flex 32