TGAM module with ESP32, 16 bit A/D converter, Home Assistant, InfluxDB, Python client for InfluxDB & MNE-Python

Last Updated on January 18, 2023 by pg@petergamma.org

We can follow more and more the path of Scott W Harden on his personal website:

https://swharden.com/about/

His formal education is in molecular biology, dentistry, and neuroscience, but he is passionate about computer programming and electrical engineering. He has a YouTube channel with a collection of random videos, mostly regarding electrical engineering or computer programming:

https://www.youtube.com/@Swharden/about

where he reached 1.132.883 views, we think mainly due to his sound card ECG. We are convinced that it is the most low-cost high-quality ECG device on the market:

We are not passionate about computer programming and electrical engineering, but we are interested in meditation and physiology, and we are looking for the most low-cost high-quality EEG device. We doubt that we will reach 1.132.883 views on YouTube, as Scott did. TGAM EEG module can be bought for about USD 20, a AD8232 ECG module costs currently 5 USD. Scott taught us, that we could also attach a TGAM module to his sound card ECG, but we think that this is an outdated concept to use the computer sound card as A/D converter. A more contemporary solution is to attach a sensor device to Home Assistant, as shown in this example:

If it is super easy to attach a temperature sensor to Home Assistant, then it should not be much more difficult to attach an EEG module, amplify it additionally with an 16 bit A/D converter, attach it to Home Assistant, InfluxDB, the Python client for InfluxDB & MNE-Python.