Last Updated on June 20, 2021 by pg@petergamma.org
Richard Davidson, PhD.
uses 256 EEG channels for meditation research:
Dilgo Khyentse Rinpoche
did not use EEG sensors at all. Dilgo spent 20 years of his life in solitary meditation retreat. Here is profound advice:
Dilgo Khyentse Rinpoche advice is, whe shoud let go all outer goals, else whe will never reach the ultimate stages of our meditative path. Unfortunately, no scientific study has proven this statement, so we need more data. But how to get those?
- With The Muse Headband?
The Muse Headband is the best selling EEG device wordwide, and it is affordable. But Interaxon «meditation made easy» made sensor data access difficult, since the Muse SDK is not available for all people anymore.
2. With an OpenBCI Ganglion, or a Cyton board?
A Cyton board with Wifi shield and MQTTcan be connected via Home Assistant software to InfluxDB and Grafana, from where sensor data can be processed further with Python software.
3. With 16 / 32 Channel EEG Ads1299 EEG Acquisition Modules?
These boards useKeil software, which is well documented, you have to code a connection to LSL, MQTT or Python yourself. I suppose it should be possible to integrate sensor data from several sensor devices with InfluxDB, but I did not test it.
The Ads1299 EEG board with the Keil software seems to be new, I did not find anyone on my search who uses those already. The description is elaborated, and it is possible to get support from the customer service for the physiological sensor board. For someone who is looking for an EEG device for end consumers, the Muse Headband or an OpenBCI products is a good choice. For (computer-) scientist who are looking for a product, the Ads1299 EEG board is interesting, especially if they don t want to spend 40 000 USD for a standard EEG lab hardware equipment.