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neurokit2

Process and analyze physiological signals including ECG, EEG, EDA, RSP, PPG, EMG, and EOG.

Updated May 8, 2026
Search Tags:#neuroscience#cardiology#physiological#biosignal#bioresearch
One-click install
npx skills add https://github.com/Zeyuyang-0420/bio-ai-research-skills --skill neurokit2-zeyuyang-0420
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neurokit2
Source: https://github.com/Zeyuyang-0420/bio-ai-research-skills/tree/main/categories/clinical-biomedical-ai/neurokit2
Command: npx skills add https://github.com/Zeyuyang-0420/bio-ai-research-skills --skill neurokit2-zeyuyang-0420

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires neurokit2, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the processing and analysis of various physiological signals, enabling efficient research and clinical applications.

Core Features & Use Cases

  • Biosignal Processing: Comprehensive analysis for ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals.
  • Event-Related Analysis: Supports event-related averaging and visualization.
  • Multi-Signal Integration: Simultaneous analysis of multiple physiological signals.
  • Use Case: Utilize this Skill to analyze cardiac signals for heart rate variability (HRV), EEG for brain activity, or EDA for autonomic nervous system assessment in research and clinical settings.

Quick Start

Run the following command to process ECG and extract HRV metrics from 'subject_ecg_signal.txt':

python -m neurokit2.ecg_process 'subject_ecg_signal.txt' sampling_rate=1000
python -m neurokit2.hrv

Frequently Asked Questions about neurokit2

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I process ECG signals and extract heart rate variability metrics?▼

To process ECG signals and extract heart rate variability (HRV) metrics, run the ECG processing command on your signal file with the specified sampling rate, then execute the HRV analysis module to generate the results.

Can I analyze multiple physiological signals like EEG and EDA simultaneously?▼

Yes, you can analyze multiple physiological signals simultaneously. The Skill supports multi-signal integration, allowing simultaneous analysis of EEG for brain activity and EDA for autonomic nervous system assessment.

What biosignal types are supported for physiological signal analysis?▼

Supported biosignal types for physiological signal analysis include ECG, EEG, EDA, RSP, PPG, EMG, and EOG. The Skill offers comprehensive processing and event-related visualization for these clinical and bioresearch applications.

Does event-related biosignal analysis support visualization for clinical research?▼

Yes, event-related biosignal analysis supports event-related averaging and visualization. This allows researchers to effectively map physiological signal responses to specific stimuli for clinical and bioresearch applications.

Do I need to install the neurokit2 package to run physiological signal processing?▼

Yes, you need to install the neurokit2 package. The Skill requires neurokit2 as a dependency to execute its internal signal processing and analysis logic for various physiological data formats.

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