Process and analyze ECG, EEG, EDA, RESP, EMG, EOG, and PPG biosignals.
npx skills add https://github.com/OwnLabAI/ownlab --skill neurokit2-ownlabai
Please help me install this Agent Skill. Skill: neurokit2 Source: https://github.com/OwnLabAI/ownlab/tree/main/mart/skills/scientific-skills/neurokit2 Command: npx skills add https://github.com/OwnLabAI/ownlab --skill neurokit2-ownlabai
NeuroKit2 provides a comprehensive, Python-based toolkit for processing, analyzing, and integrating a wide range of physiological signals (biosignals) such as ECG, EEG, EDA, RESP, EMG, EOG, and PPG, enabling researchers to extract meaningful metrics with reproducible workflows.
Install NeuroKit2 and run a simple ECG workflow to see cleaned signals and HRV metrics.
High-intent search queries and answers about installing and using this skill.
HRV analysis extracts heart rate variability metrics from ECG data using modular workflows like ecg_process. It cleans raw cardiac signals and computes HRV metrics, enabling reproducible psychophysiology and clinical research workflows.
Yes, EEG power and microstate analysis compute spectral power and segment brain microstates from raw EEG data. Modular functions like eeg_power and microstates_segment integrate with MNE to support neuroscience research and clinical contexts.
Yes, multimodal biosignal processing integrates with MNE for EEG workflows. Modular pipelines like bio_process handle cardiac, neural, and autonomic signals, enabling cross-signal coupling and holistic psychophysiology research.
Extracting RSA and EDA metrics requires modular workflows like rsp_process and eda_process that clean raw respiratory and electrodermal signals. This computes autonomic metrics, enabling reproducible psychophysiology and human-computer interaction research.
Biosignal processing for clinical research requires clean raw physiological data inputs for accurate HRV, RSA, and cross-signal coupling results. Signal artifacts and incomplete multimodal datasets limit accuracy, requiring careful preprocessing for reproducible workflows.
robinbarvaagProcess and analyze physiological signals like ECG and EEG with NeuroKit2.
pur3v4d3rProcess and analyze multichannel biosignals to extract HRV, EEG, EDA, and respiration metrics.
nahisahoBuild reproducible neuroscience pipelines for spike sorting and ERP/HRV/EDA analyses.
nahisahoAnalyze ECG, EEG, EMG, and respiratory signals for feature extraction.
