Process and analyze physiological signals like ECG and EEG with Python.
npx skills add https://github.com/yf8578/clawomics --skill neurokit2-yf8578
Please help me install this Agent Skill. Skill: neurokit2 Source: https://github.com/yf8578/clawomics/tree/main/skills/neurokit2 Command: npx skills add https://github.com/yf8578/clawomics --skill neurokit2-yf8578
This Skill addresses the complex challenge of processing and analyzing diverse physiological signals, turning raw biosignal data into actionable insights for research and clinical applications.
Use the neurokit2 skill to process an ECG signal and compute its heart rate variability metrics.
High-intent search queries and answers about installing and using this skill.
To process ECG and EEG signals for psychophysiology research, this toolkit provides signal cleaning, peak detection, and feature extraction to compute metrics like heart rate variability and event-related responses across multiple physiological modalities.
To compute heart rate variability from raw ECG data, apply robust signal cleaning followed by peak detection and feature extraction. This toolkit facilitates advanced HRV analysis to yield actionable autonomic nervous system insights for clinical research.
You can simultaneously analyze EDA and RSP signals to study stress responses. This toolkit integrates multi-signal processing to evaluate skin conductance and breathing patterns alongside ECG, providing a holistic view of autonomic nervous system activity.
This biosignal processing toolkit supports EEG microstates and complexity measures. It offers advanced analyses across multiple physiological modalities, allowing you to decompose signals and extract complex features for human-computer interaction applications.
To extract features from EMG and EOG signals for human-computer interaction, this toolkit provides robust decomposition and feature extraction tools. It processes physiological signals to turn raw biosignal data into actionable insights for research applications.
fuzzy-dynamicsAutomate biosignal preprocessing and analysis to extract physiological metrics from ECG, EEG, EDA, RSP, EMG, and EOG data.
jasrajtulsiProcess raw physiological signals into cleaned biosignal features for ECG, EEG, EDA, RSP, PPG, EMG, and EOG.
Lord1EgyptProcess and analyze ECG, EEG, EDA, RSP, and EMG signals for psychophysiological research.
jackspaceProcess physiological biosignals for integrated multi-modal analysis in Python.
