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CGM Pattern Analyzer

  • 2 Devlogs
  • 1 Total hours

This Flask app converts Dexcom-style CGM CSV data into an evidence-first report.

Ship #1 Pending review

I made a completely free continuous glucose monitor analyzing device that is compatible with data from a Dexcom G6 and G7. This project is able to closely analyze trends and identify phenomena found commonly in said trends. Honestly, the most challenging part was definitely getting the API to work. Lots of the other things weren’t easy but they definitely weren’t as hard and API key installation. I would say I’m most proud of that honestly. One major thing to know about this project is that I’m using only free resources, so I kind of don’t have a lot of calls available on my API per day. It should be able to work at least 5-8 times depending on how much data is used.

  • 2 devlogs
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1h 1m 46s logged

This is my CGM Pattern Analyzer. Basically what it does is that it uses an API to analyze lots of data (and I mean a lot like 24/7 data from 90 days that records every 5 minutes (for any non-cgm wearers ;))). I’ve used it with my own data and it works well. It makes sure not to diagnose patients because that would be kinda bad, but it helps analyze patterns and common phenomena with diabetic patients. It took lots of work but we did it!

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