Last Updated on May 25, 2023 by pg@petergamma.org
We have reviewed since several years low-cost high-quality physiological sensor devices. If we look at newer personal EEG devices, they often consist of only view EEG sensors. Are they based on InfluxDB? If so, this might be a hint of something revolutionary. If we are looking for EEG devices for private use, do not most users use the Muse Headband and OpenBCI.
A solution is also to solder together 32 TGAM EEG modules for a project, with for instance an array of 16 bit A/D converters. The information can also be found in our journal and on the YouTube channel “How to Electronics”. There are some projects which have already been done, as for instance the remote IOT patient monitor with an ECG chip. There is a video from the YouTuber How To Electronics available, and also a paper.
How To Electronics offers us an instruction how to connect an ECG module to a 16 bit Texas Instruments A/D converter and from there to an ESP32 modules. This insctuction can also be used for TGAM EEG modules or TGAM clones. ESP 32 modules are easy to connect to Home Assistant, it requires no coding. There are examples available on YouTube how to connect a temperature and humidity sensor to ESP32 and Home Assistant, which requires no coding. This example can be modified for TGAM EEG modules.
If we look at this circuit, to make it more effective, we can modify the How to Electronics instruction which is developed on a breadboard and make our own printed circuit board (PCB) with one or several TGAM EEG modules. Then we have a low-cost high-quality EEG device which offers an infinite number of EEG channels which is completely open source.
We are walking now on the foot steps of YouTuber PhD. DMD Scott W. Harden. These kind of YouTubers are a very rare species. But for us personally, what we describe here, is one of the most interesting option which is available. We have no plans to make it real, but it can be a project for the next Scott W. Harden.