Sampling rate for ecg_hrv

[Eichhof]

Hi,

I have a series of RR-intervals (which I have retrieved from Polar H10 chest strap)

The ecg_hrv function from neurokit, that computes HRV features, needs R peaks location as input. The step, in theory, before RRi computation. So we have to somehow transform the RRi data back into R peaks location. We can do it by computing the cumulative sum rpeaks = list(np.cumsum(rri)).

rri_results = nk.ecg_hrv(rpeaks, sampling_rate=1000, hrv_features=["time", "nonlinear"])

On this line you have used a sampling rate of 1000. What should I use here? Somehow the sampling rate depends on the heart rate (the higher the heart rate, the more RR intervals).

[DominiqueMakowski]

The sampling rate refers, here, to the unit in which your R peaks location are expressed.

For example, if you have a list of R peaks location such as [5, 6.2, 7.85, 9.01, ...], it is likely to be expressed in seconds (sampling_rate=1). While if you had [5000, 6200, 7850, 9010, ...] it is rather a sampling_rate of 1000 points par second.

Let me know if that remains unclear!

[Eichhof]

Thank you for your answer. Now it is completely clear. ;)