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 Show more