Long time fan, first time poster. I want to try and understand my physiology as a network, and to eventually be able to find network features that change with illness/seasons/events. Anyone interested in network modeling, data visualization, biomedical research, please comment and let's see if we can work out some deeper/cooler stuff together.
I'm starting on a project to record as many physiological variables as I reasonably can with the following conditions:
1) continuous data (at least 1/15 min; more frequent is better).
2) data are free to access (device costs aside, but no subscriptions/services).
3) data are non or minimally invasive to gather (no implants, but will be using CGMs).
4) can be gathered longitudinally (at least over 1 week, ideally longer).
After each week of data collection, I will then use these data to explore network relationships between different outputs as functions of time, with an eye towards frequency composition. For example, during sleep, can I see sleep cycles across outputs, and if so, how much information could one output predict of another, and how much novel information does each output provide. Data will be supplemented with logs of food/sleep/wake logs as labels to find patterns against.
Outputs so far covered:
EEG (night only) - homemade electronics
EGG - homemade electronics
HR - homemade electronics, Oura ring
HRv - homemade electronics
"sleep" from Oura ring - Oura ring
Actigraphy - homemade electronics, Oura ring
Glucose - Freestyle Libre
Distal temperature - thermochron ibutton at wrist
Axial temperature - thermochron ibutton at arm pit
Let me know what I missed that you're aware of/excited about.