Process and analyze multi-modal biosignals with a unified Python toolkit.
npx skills add https://github.com/crazymsn/academic-skills --skill neurokit2-crazymsn
Please help me install this Agent Skill. Skill: neurokit2 Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/neurokit2 Command: npx skills add https://github.com/crazymsn/academic-skills --skill neurokit2-crazymsn
NeuroKit2 provides a comprehensive toolkit to preprocess, analyze, and integrate multiple biosignals (ECG, EEG, EDA, RSP, EMG, EOG, and PPG) for research-grade insights across domains such as psychophysiology, neuroscience, and clinical science.
Process multi-modal biosignals by loading your data and running the NeuroKit2 workflow to obtain integrated metrics.
High-intent search queries and answers about installing and using this skill.
Cross-signal metrics like RSA and HRV are computed by harmonizing multiple biosignals within a unified Python pipeline, supporting both event-related and interval-related analyses to extract integrated physiological indices.
Cross-signal metrics like RSA and HRV are computed by harmonizing multiple biosignals within a unified Python pipeline, supporting both event-related and interval-related analyses to extract integrated physiological indices.
Event-related and interval-related biosignal analyses are both supported, allowing researchers to segment raw multimodal data into epochs and extract interpretable physiological features from specific experimental events or continuous intervals.
Event-related and interval-related biosignal analyses are both supported, allowing researchers to segment raw multimodal data into epochs and extract interpretable physiological features from specific experimental events or continuous intervals.
You need raw physiological data from supported modalities like EDA and PPG, which the toolkit preprocesses to extract synchronized features, adapting to various sampling rates without requiring a strictly predefined data format.
fuzzy-dynamicsAutomate biosignal preprocessing and analysis to extract physiological metrics from ECG, EEG, EDA, RSP, EMG, and EOG data.
Lord1EgyptProcess and analyze ECG, EEG, EDA, RSP, and EMG signals for psychophysiological research.
Imad-OuteProcess and analyze physiological signals with neurokit2 for feature extraction.
Estrella-231Extract, clean, and analyze physiological biosignals into cardiovascular and neural features.
