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NeuroKit2 is a Python biosignal processing toolkit for ECG, EEG, EDA, RSP, EMG, and EOG data that automates cleaning, feature extraction, and HRV/complexity analysis for psychophysiology, clinical, and HCI studies.

NeuroKit2 is a comprehensive Python toolkit designed for processing and analyzing diverse physiological biosignals. It covers multiple domains including cardiovascular (ECG, PPG), neural (EEG), autonomic (EDA), respiratory (RSP), and muscular (EMG) signals. Use this skill for advanced psychophysiology research, complex pattern detection, and real-time clinical monitoring applications.

This skill provides comprehensive tools and methodologies for working with the Brain Imaging Data Structure (BIDS) standard. It is essential for organizing, validating, querying, and converting complex multi-modal neuroscience and biomedical datasets (including MRI, EEG, MEG, PET, etc.). Use this when setting up BIDS-compliant directory structures, ensuring data integrity before publication, or converting raw DICOM scans into standardized formats.