Window size for EDA and HRV about neurokit.py

[DominiqueMakowski]

For EDA, in affective neuroscience, a window between 1 and 7 s or 1 and 5 should be ok to catch the response.

For HRV, there is no unique rule as there are like dozens of HRV indices. Again, a good start is to reproduce what was done in similar papers.

[Eichhof]

I have taken the usual features according to literature. HRV featues work much better than EDA featues (perhaps due to the sensor, I don't know). I also has to throw out a lot of the featues due to high correlation (especially for HRV).

Currently, I'm using a 10s window. When I shrink the window to 5s, accuracy drops to random level. But I still have to evaluate it separately for HRV and EDA.

Regarding the frequency domain of HRV, I'm always getting 0 for the low and very low frequency (only high frequency exists). Perhaps this is dur to the small window size of 10 sevonds.

[DominiqueMakowski]

yes, you can't estimate low or very low frequency domain HRV on 10 seconds. Well, try out a few things and find out what works better ;)