Process physiological biosignals for integrated multi-modal analysis in Python.
npx skills add https://github.com/jackspace/ClaudeSkillz --skill neurokit2
Please help me install this Agent Skill. Skill: neurokit2 Source: https://github.com/jackspace/ClaudeSkillz/tree/main/skills/scientific-pkg-neurokit2 Command: npx skills add https://github.com/jackspace/ClaudeSkillz --skill neurokit2
NeuroKit2 provides a unified toolkit to preprocess, analyze, and visualize biosignals (ECG, EEG, EDA, RSP, EMG, EOG) for psychophysiology research, clinical work, and human-computer interaction.
Install via pip and run quick examples to process ECG or other biosignals, then combine analyses across modalities.
High-intent search queries and answers about installing and using this skill.
NeuroKit2 processes ECG signals to extract heart rate variability (HRV) metrics and cardiac features. It handles ECG preprocessing, peak detection, and HRV computation for psychophysiology research and clinical assessment workflows.
Yes, NeuroKit2 integrates multi-modal biosignal processing across ECG, EEG, EDA, RSP, EMG, and EOG. It enables simultaneous preprocessing and combined analysis of multiple physiological signals in a single workflow.
NeuroKit2 applies robust preprocessing including filtering, artifact removal, and normalization across all supported biosignal types. It prepares raw ECG, EEG, EDA, RSP, EMG, and EOG data for reliable feature extraction and downstream analysis.
Yes, NeuroKit2 computes complexity and entropy measures for nonlinear dynamics analysis of biosignals. These advanced metrics characterize signal complexity beyond traditional frequency and time-domain features.
NeuroKit2 supports HCI tasks requiring multimodal signal integration and physiological feature extraction. Its Python compatibility and multi-signal preprocessing enable reproducible biosignal workflows for interactive systems.
NeuroKit2 extracts respiratory features including respiration rate from RSP signals and cardiopulmonary coupling from ECG. It integrates respiration analysis into multi-modal physiological assessments.
fuzzy-dynamicsAutomate biosignal preprocessing and analysis to extract physiological metrics from ECG, EEG, EDA, RSP, EMG, and EOG data.
crazymsnProcess and analyze multi-modal biosignals with a unified Python toolkit.
jackspaceProcess physiological biosignals for integrated multi-modal analysis in Python.
Zeyuyang-0420Process and analyze physiological signals including ECG, EEG, EDA, RSP, PPG, EMG, and EOG.
