NeuroKit2
Overview
NeuroKit2 provides a unified, high-level API for physiological signal processing. Each modality (ECG, EEG, EMG, EDA, PPG, RSP) follows the same nk.{signal}_process() → nk.{signal}_analyze() workflow: raw signal in, cleaned signal + features out. The library handles detrending, filtering, peak detection, artifact correction, and feature extraction automatically, with parameters tuned to biosignal characteristics. Results are returned as pandas DataFrames, making down
[Description truncada. Veja o README completo no GitHub.]