I’m working on a project for NASA’s l’space competition and I’m looking for help figuring out what kind of technology I can create based on a cardiorespiratory model from this article: “A Dynamic Fitting Strategy for Physiological Models”.
Im wondering if someone that knows about computational models can help me figure out or narrow down a technology for this or maybe something like it…?
The Cross computational modeling group at Glenn (Jerry Myers for example) would be a good place to start. They have been doing some nice work on various biological models.
You can build specific sensors that provide optimized measurements to search for the best performance through machine learning based on the best metrics for the type of individual according to specific metrics, in order to give you high-precision physical training.
Hi! The Spacebio platform could be an excellent resource for finding articles related to cardiorespiratory models—check out this link:(https://www.spacebio.space/articles/list?query=cardiorespiratory). You might also explore methodologies in similar studies there for inspiration on potential technologies. Feel free to share more details about your project if you’d like additional input!
This looks very cool! My first thought is that it looks like you’ll need to find longitudinal, time-series based dataset(s) to use this approach in a spaceflight context. If you intend to use data from OSDR, there is some, but not a lot, of that.