NeuroKit2 Biosignal Processing

About

NeuroKit2 is a specialized Python toolkit designed for the advanced processing and analysis of biosignals like cardiovascular, neural, and respiratory data. This skill enables Claude to handle complex workflows for heart rate variability (HRV), brain microstates, skin conductance responses, and multi-modal physiological integration, making it an essential tool for researchers and developers working in psychophysiology, human-computer interaction, and clinical monitoring.

Key Features

• Nonlinear dynamics, complexity, and entropy measure calculations
• Comprehensive Heart Rate Variability (HRV) analysis across all domains
• Brain activity analysis including frequency bands and microstate patterns
• 81 GitHub stars
• Automated event-related and interval-related analysis pipelines
• Multi-modal signal processing for ECG, EEG, EDA, EMG, and PPG

Use Cases

• Developing clinical monitoring tools for cardiovascular and respiratory health assessment
• Analyzing human-computer interaction through neural and autonomic responses
• Conducting psychophysiology research with integrated multi-modal physiological data