> Researchers found the method Apple uses, standard deviation of normal-to-normal, or SDNN, is the most accurate. Other brands implement a system called root mean square standard deviation, RMSSD, which Tenan said produces a wider range of error in the measurement
This is interesting for a couple of reasons. Firstly, I have one so it’s cool to know Apple designed it well in that respect, and that I shouldn’t lose confidence in the readings I get.
The second reason it’s interesting is that this kind of decision, which time-domain measure of heart rate variability metric to use, is the kind of super small design decision that really makes a system special.
Having really good developers and designers really shines through for moments like these.
This is interesting for a couple of reasons. Firstly, I have one so it’s cool to know Apple designed it well in that respect, and that I shouldn’t lose confidence in the readings I get.
The second reason it’s interesting is that this kind of decision, which time-domain measure of heart rate variability metric to use, is the kind of super small design decision that really makes a system special.
Having really good developers and designers really shines through for moments like these.