HRV not defined about neurokit.py

[DominiqueMakowski]

@bbertoldi It depends on how you named the object returned by the ecg_process() function. Could you paste the code above that?

[bbertoldi]

The only code I have above that is this one:

import neurokit as nk
 
data, sampling_rate = nk.read_acqknowledge("Zall_Baseline.acq", return_sampling_rate=True)
 
 
data[0:50000].plot()  # Plot a subset of raw data
 
processed_ecg = nk.ecg_process(ecg=data["ECG - ECG100C"], sampling_rate=sampling_rate)
nk.z_score(processed_ecg["df"][0:50000]).plot()
 
 
# Plot spectral HRV on a subset
nk.z_score(processed_ecg["df"][['ECG_Filtered', 'ECG_RR_Interval', 'ECG_HRV_HF', 'ECG_HRV_LF', 'ECG_HRV_ULF', 'ECG_HRV_VHF', 'ECG_HRV_VLF']][0:50000]).plot()
 
 
# Print HRV indices
print(processed_ecg["ECG"]["HRV"])

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Since I'm completely new to this I'm still confused as to how to extract HRV indices from an Acknowledge file. Do I do this using the script above? How is the print(hrv.keys()) # and hrv["RMSSD"]
hrv["medianNN"] hrv["cvNN"] hrv["LF/HF"] different from what the above code does?

[DominiqueMakowski]

@bbertoldi

Here's a minimal code to check what HRV indices are available and extract (print) one of them.

import neurokit as nk

# Preprocessing
data, sampling_rate = nk.read_acqknowledge("Zall_Baseline.acq", return_sampling_rate=True)
processed_ecg = nk.ecg_process(ecg=data["ECG - ECG100C"], sampling_rate=sampling_rate)

# What are the available indices?
print(processed_ecg["ECG"]["HRV"].keys())

# Print the RMSSD only
print(processed_ecg["ECG"]["HRV"]["RMSSD"])

Then again, in depends on what you want to do with these indices.