Peter Gamma (Physiologist & Director) Meditation Research Institute Switzerland (MRIS)

Why does Peter Gamma from www.petergamma.org not find an affordable EEG device which is based on the ADS1299 altough he is looking for it since years & years & years?

Last Updated on February 25, 2024 by pg@petergamma.org

The ADS1299 from Texas Instruments:

https://www.ti.com/product/ADS1299?utm_source=google&utm_medium=cpc&utm_campaign=asc-dc-null-44700045486650716_prodfolderdynamic-cpc-pf-google-eu_int&utm_content=prodfolddynamic&ds_k=DYNAMIC+SEARCH+ADS&gad_source=1&gclid=Cj0KCQiA5-uuBhDzARIsAAa21T8xqXaoUs3HyoRCnh9rvpEDo6Ho4ed8YzNxHo1rvCK-8np0HERaducaAniBEALw_wcB&gclsrc=aw.ds

ADS1299 data sheet, product information and support | TI.com:

The ADS1299 from Texas Instruments is a chip which is mainly used in EEG devices. It never has been cloned. Peter Gamma from www.petergamma.org supposes that EEG devices which contain the ADS1299 chip are part of a marketing trust to keep prices for EEG device high, and want to maximize profits from EEG devices.

Also the OpenBCI made in China products increased in price in recent years.

  • A view years ago, they started at 230 USD for a cable version module.
  • But we did not find this cable version anymore.
  • We now found only OpenBCI made in China products starting from 340 USD:

On the other TGAM EEG modules:

have been cloned, the price has dropped from 20 USD to 18 USD on Aliexpress in recent years.

And the ADS1115 16-Bit Analog-to-Digital Converter:

has been cloned as well, and can be found for 5 USD on Aliexpress.

With these cloned components it is possible to build up a EEG device with 8 channels for around 230 USD. This was the starting price for OpenBCI made in China.

But there is a tendency for products which are based on the ADS1299 to maximize profit out of it. With TGAM modules and the ADS1115 16-Bit Analog-to-Digital Converter it is not possible, since both electronics components have been cloned and have a clone competitor.

And Home Assistant which can run for instance on a Raspberry PI, here in the example of the Apple watch is free:

With all of these components we can build affordable multi-sensor EEG devices by ourselves. And the prices for these components should be stable.

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