NeuroKit2 Biosignal Analysis

소개

NeuroKit2 is a comprehensive Python-based toolkit designed for the advanced processing and analysis of biosignals. It provides a unified framework for cleaning, peak detection, and metric extraction across multiple modalities such as cardiac (ECG/PPG), neural (EEG), and autonomic (EDA/RSP) systems. This skill enables Claude to guide researchers and developers through complex psychophysiological workflows, from computing Heart Rate Variability (HRV) to performing nonlinear complexity analysis and multi-modal integration, making it essential for clinical studies, human-computer interaction research, and health-tech development.

주요 기능

• Autonomic nervous system assessment via EDA and respiratory patterns
• Automated event-related and interval-related analysis workflows
• Comprehensive cardiovascular analysis including ECG, PPG, and HRV
• Neural signal processing with EEG frequency and microstate analysis
• Advanced complexity measures including entropy and fractal dimensions
• 1 GitHub stars

사용 사례

• Conducting psychophysiology research and stimulus-response studies
• Analyzing neural complexity and brain-state transitions in EEG data
• Developing health-monitoring applications and wearable tech algorithms