ecg rate using sliding window with neurokit2 in python

Question

I am trying to calculate the ecg rate using a sliding window of 180 sec with a step of 15 sec. The respiration rate (rsp_rate) allows for the use of a sliding window but I have not found similar documentation for ecg_rate similar to rsp_rate. Does anyone know how to apply that? Thank you.

Answer 1

As far as I know, NeuroKit does not directly support specifying a window size for the ecg_rate function, but you can modify the width of the Gaussian kernel that they convolve with the ECG signal here in this function. From the function:

SD is defined as a typical QRS size, which for adults if 100ms

I hope it helps.