Guides

Plain-English guides to keeping blood test results and wearable data in one place: how to track them, how to compare draws, why units and ranges differ, and what the common wearable measures are. They explain methods and units. They do not say what a result means for you.

• How to track blood test results over time

  A practical way to keep blood test results comparable across years: units, dates, fasting status, each lab's own range and notes. No spreadsheet needed.

• How to compare two blood tests

  Compare two blood test draws properly: same unit, each report's own range, the size of the change, and what differed between the draws.

• mg/dL vs mmol/L: converting lab units

  Why labs report the same marker in mg/dL or mmol/L, the formula that converts between them, and the factors for cholesterol, glucose, triglycerides and more.

• Why reference ranges differ between labs

  Each lab sets its reference range for its own method and population, so one result can sit differently against two labs' ranges. Why, and how to read them.

• HRV: RMSSD vs SDNN, and why your wearables disagree

  RMSSD and SDNN summarise heart rate variability in different ways. What each measures, which wearables report which, and why the numbers cannot be swapped.

• Skin temperature on wearables: absolute vs deviation

  Some wearables report skin temperature in degrees, others as a deviation from your own baseline. Why the two cannot share an axis, and converting Fahrenheit.

• How to import wearable data from a CSV

  Bring daily HRV, resting heart rate, sleep and skin temperature into BiomarkerHQ from a CSV: the columns it reads, the preview and a sample file.

• Keeping your health data private: how local-first tracking works

  What local-first means for lab results and wearable data, where BiomarkerHQ keeps your data with and without an account, and the controls you have over it.