Friends and CardioTwitter,
How can Heart Rate Variability (#HRV ) be informative if it moves intraday by 1 order of magnitude?
Another statistical problem: standard deviation must not be stochastic for standard metrics.
Is it so observation dependent?
How can Heart Rate Variability (#HRV ) be informative if it moves intraday by 1 order of magnitude?
Another statistical problem: standard deviation must not be stochastic for standard metrics.
Is it so observation dependent?
Looks like HRV may contain *some* information in very long term trends but this shows you observe mostly noise.
No single observation has observation unless it is in the very far tail.
No single observation has observation unless it is in the very far tail.
OK, OK
HRV data fits the Lognormal like a glove. A high variance Lornormal (Max=40 times Min!), so not good news. I would ignore the metric even if it seems to selectively fit some diagnosis of Covid or overtraining.
HRV data fits the Lognormal like a glove. A high variance Lornormal (Max=40 times Min!), so not good news. I would ignore the metric even if it seems to selectively fit some diagnosis of Covid or overtraining.
Some better news about HRV.
It could work but if one takes the LOG of time between beats.
Any regression on HRV not the LOG is improper. There is an ignorant fellow who writes academic papers with regressions on the thread making that mistake but I will spare him.
It could work but if one takes the LOG of time between beats.
Any regression on HRV not the LOG is improper. There is an ignorant fellow who writes academic papers with regressions on the thread making that mistake but I will spare him.
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