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CGM Meets AI: My Personal Health Tech Experiment
Since I’m very interested in monitoring and improving my health, I will share how I started using a CGM (Continuous Glucose Monitoring) in this post. Moreover, I built a custom GPT to answer some of my questions.
This is the first part of the post.
Why a CGM?
Continuous Glucose Monitoring (CGM) is a device used to measure blood glucose levels continuously throughout the day. CGMs use a tiny sensor inserted under the skin, typically on the arm. This data is transmitted wirelessly to a mobile app, providing real-time glucose readings.
The CGM I chose, Dexcom G7, isn’t just a tool for those with diabetes. It is a window into understanding how lifestyle choices impact blood sugar levels and overall health. This technology fascinated me since it had the potential to show real-time data related to my health.
Through podcasts like “The Huberman Lab” and articles from experts like Dr. Peter Attia, I learned about the significant impact of blood sugar fluctuations on energy, mood, and long-term health risks like metabolic issues and cardiovascular diseases. Even cognitive function, sleep patterns, and immune system performance are linked to these fluctuations.
