alterlab-neurokit2
byalterlab-ieu· 90 skills
Processes and analyzes physiological biosignals with the NeuroKit2 Python toolkit — ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements, or when computing heart rate variability (HRV), event-related potentials, complexity measures, autonomic nervous system assessment, or multi-modal physiological signal integration for psychophysiology research. Part of the AlterLab Academic Skills suite.
How to install alterlab-neurokit2?
alterlab-ieu/alterlab-academic-skills/alterlab-neurokit2
$npx -y skills add alterlab-ieu/alterlab-academic-skills --skill alterlab-neurokit2Installs into the current project.
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Run `npx skills use "https://github.com/alterlab-ieu/alterlab-academic-skills" --skill "alterlab-ieu/alterlab-academic-skills/alterlab-neurokit2"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/alterlab-ieu/alterlab-academic-skills" that are relevant to the current task. Run `npx skills add "https://github.com/alterlab-ieu/alterlab-academic-skills"` and select the relevant skills, then follow their instructions.
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