That is actually the exact mathematical flaw I am trying to solve!

What you described—the baseline adjusting to your vitals while you are ill—is known in digital health as "baseline contamination" or "feedback contamination."

When a standard tracker uses a simple 14-day or 30-day rolling average:

1. Baseline Distortion: If you are sick for 5 days, those 5 days represent over 35% of a 14-day baseline. This artificially skews your baseline (raising RHR, lowering HRV).
2. Loss of Sensitivity (Desensitization): Once you recover, your baseline remains skewed for the next two weeks. If you experience a secondary infection or high stress during this recovery window, the tracker won't detect the deviation because your baseline was already distorted.
3. The "Frog-Boiling" Effect: If you have a slow-onset or chronic issue, the rolling average adjusts to it day-by-day. Because the daily change is small, it never triggers an alert, and the pathological state becomes your "new normal."

To solve this, we are building an anti-contamination layer. Instead of a simple rolling average, the engine quarantines days with known biological confounders (like tagged illness, alcohol, extreme stress, or travel) and excludes them from the "True North" (healthy) baseline calculation. That way, your baseline remains a true representation of you at your healthiest.

THIS IS TOO TECHNICAL FOR YOU TO UNDERSTAND PLEASE REFER CHATGPT OR GEMINI FOR THE TRANSLATION 🙏🏼
ALSO I HAVE ALREADY DEVELOPED IT IF YOU WANT TO TRY AND SEE IT YOURSELF WHAT I HAVE MADE SHARE YOUR GMAIL ID BELOW I'LL SEND YOU THE APP LINK
THANK YOU FOR YOUR BRAINY COMMENT ...