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Usually, it's enough to extract a single feature value, but sometimes, we need continuous data of feature for further analysis.
For example, the ECG heart rate can be extracted as continuous time-series data already. RSA is another good example.
Can Neurokit also extract HRV indices like RMSSD and EDA features as continuous time-series data like RSA?
The text was updated successfully, but these errors were encountered:
Not currently no.
However, you can probably do that fairly easily by computing a given index over a sliding window (though how long the window should be is a complex and critical question)
Usually, it's enough to extract a single feature value, but sometimes, we need continuous data of feature for further analysis.
For example, the ECG heart rate can be extracted as continuous time-series data already. RSA is another good example.
Can Neurokit also extract HRV indices like RMSSD and EDA features as continuous time-series data like RSA?
The text was updated successfully, but these errors were encountered: