Process ECG, EEG, EDA, RSP, PPG, EMG, and EOG biosignals end-to-end.
npx skills add https://github.com/swaruplab/operon --skill neurokit2-swaruplab
Please help me install this Agent Skill. Skill: neurokit2 Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/neurokit2 Command: npx skills add https://github.com/swaruplab/operon --skill neurokit2-swaruplab
Unify and accelerate biosignal analysis across ECG, EEG, EDA, RSP, PPG, EMG, and EOG.
Process ECG and respiration data to compute HRV and RSA metrics and generate a plot.
High-intent search queries and answers about installing and using this skill.
To compute HRV and RSA metrics, process raw ECG and respiration signals through end-to-end pipelines that extract cross-modal physiological features and generate visual plots for psychophysiology and clinical biomarker workflows.
End-to-end physiological signal analysis supports ECG, EEG, EDA, RSP, PPG, EMG, and EOG modalities, enabling preprocessing, feature extraction, microstate analysis, and event-related paradigms across multi-modal research data.
Yes, you can run cross-signal analysis and multi-method validation for cognitive neuroscience studies, applying modular processing and robust input handling to safely default and trace multimodal biosignal outputs.
No external dependencies are required to process EEG microstates and event-related paradigms, as the modular processing pipeline handles robust input natively to produce traceable outputs for clinical biomarker development.
The best way to unify ECG and EEG preprocessing workflows for psychophysiology experiments is applying cross-modal modular pipelines that accelerate biosignal processing with safe defaults and traceable documentation.
Limitations when extracting features from EDA and PPG signals in clinical contexts depend on robust input handling; ensuring traceable outputs and modular processing mitigates risks in multi-method validation workflows.
qinyan-aiProcess ECG, EEG, EDA, RSP, PPG, EMG, and EOG biosignals into cleaned data and features.
pur3v4d3rProcess and analyze multichannel biosignals to extract HRV, EEG, EDA, and respiration metrics.
NeuroAIHubGuide ERP preprocessing and statistical analysis for EEG research.
nahisahoAnalyze ECG, EEG, EMG, and respiratory signals for feature extraction.
