NeuroKit2

概要

NeuroKit2 provides a robust framework for processing and analyzing a wide array of physiological signals, including cardiovascular, neural, autonomic, respiratory, and muscular data. It simplifies complex workflows for heart rate variability (HRV) analysis, EEG frequency power estimation, and electrodermal activity decomposition, making it an essential tool for psychophysiology research and clinical applications. By automatically selecting between event-related and interval-related analysis modes, the skill ensures accurate feature extraction whether working with brief stimulus-locked responses or long-term baseline monitoring.

主な機能

• Comprehensive processing pipelines for ECG, EEG, EDA, RSP, EMG, and EOG signals
• Multi-modal integration for synchronized processing of multiple physiological data streams
• Advanced heart rate variability (HRV) metrics across time, frequency, and nonlinear domains
• 2,066 GitHub stars
• Signal decomposition into tonic and phasic components for autonomic nervous system assessment
• Nonlinear complexity analysis including entropy measures, fractal dimensions, and Lyapunov exponents

ユースケース

• Conducting psychophysiological research that requires precise extraction of biosignal features and event-related potentials
• Developing human-computer interaction systems that respond to real-time physiological states or mental workload
• Analyzing autonomic nervous system responses using skin conductance and heart rate variability metrics