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Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when…
NeuroKit2 Overview NeuroKit2 is a comprehensive Python toolkit for processing and analyzing physiological signals (biosignals). Use this skill to process cardiovascular, neural, autonomic, respiratory, and muscular signals for psychophysiology research, clinical applications, and human-computer interaction studies. When to Use This Skill Apply this skill when working with: Cardiac signals: ECG, PPG, heart rate variability (HRV), pulse analysis Brain signals: EEG frequency bands, microstates, complexity, source localization Autonomic signals: Electrodermal activity (EDA/GSR), skin conductance responses (SCR) Respiratory signals: Breathing rate, respiratory variability (RRV), volume per time Muscular signals: EMG amplitude, muscle activation detection Eye tracking: EOG, blink detection and analysis Multi-modal integration: Processing multiple physiological signals simultaneously Complexity analysis: Entropy measures, fractal dimensions, nonlinear dynamics Core Capabilities
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