alterlab-neurokit2
CommunityUnified biosignal processing for neuroscience.
AuthorAlterLab-IEU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
NeuroKit2 streamlines the messy, multi-step workflow of processing and analyzing diverse physiological signals by providing a cohesive Python toolkit with comprehensive preprocessing, feature extraction, and multi-modal integration capabilities for research.
Core Features & Use Cases
- Unified multi-signal pipelines: preprocess, analyze, and integrate ECG, EEG, EDA, EMG, EOG, PPG, and respiration data in a single framework.
- Rich analytics library: compute HRV, EEG power, microstates, SCRs, respiration metrics, and cross-signal indices like RSA.
- Use Case: In a psychophysiology study, process a 5-minute recording with ECG, EDA, and respiration to derive HRV, RSA, and arousal indicators for condition comparisons.
Quick Start
Process a sample ECG and respiration dataset to generate HRV and RSA metrics and visualize the results.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: alterlab-neurokit2 Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-neurokit2 Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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