neurokit2

You can analyze heart rate variability (HRV) from an ECG signal by processing the data with the neurokit2 library to extract cardiovascular metrics and assess stress or sleep quality.

You can process physiological signals such as ECG, EEG, EDA, RSP, PPG, EMG, and EOG to extract biometric metrics for cardiovascular analysis, brain activity, and autonomic nervous system assessment.

Yes, you need to install the neurokit2 library as a dependency, because the Skill requires it to process physiological signals and generate health and biometric analysis metrics.

Yes, you can assess autonomic nervous system activity by processing EDA and RSP signals, as the Skill provides metrics specifically designed for autonomic nervous system evaluation and physiological analysis.

The best way to compute cardiovascular metrics from PPG signals is to use a dedicated physiological signal processing library like neurokit2, which provides comprehensive tools for health and biometric analysis.