What types of physiological signals can NeuroKit2 handle?

NeuroKit2 supports a wide range of signals including ECG, EEG, EDA (GSR), RSP (respiration), PPG, EMG, and EOG.

Does it support nonlinear signal analysis?

Yes, it includes advanced complexity measures such as Shannon entropy, fractal dimensions (Katz, Higuchi), and Lyapunov exponents.

Can this skill perform Heart Rate Variability (HRV) analysis?

Yes, it offers comprehensive HRV analysis across time, frequency, and nonlinear domains, including metrics like SDNN, RMSSD, and LF/HF ratios.

Is NeuroKit2 suitable for event-related research?

Absolutely. It includes tools for finding events, creating epochs, and performing event-related averaging for stimulus-locked responses.

NeuroKit2 Biosignal Processing

Name: NeuroKit2 Biosignal Processing
Author: plurigrid

byplurigrid

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データサイエンスとML

Analyzes and processes complex physiological signals including ECG, EEG, and EDA using the NeuroKit2 Python toolkit.

NeuroKit2 is a specialized skill designed for researchers and developers working with human physiological data. It provides a comprehensive suite of tools for processing cardiovascular, neural, and autonomic signals, enabling advanced analysis such as heart rate variability (HRV), brain microstate segmentation, and electrodermal response detection. Whether you are conducting psychophysiology research, building human-computer interfaces, or analyzing clinical data, this skill streamlines the entire pipeline from raw signal cleaning to feature extraction and multi-modal integration.

主な機能

01Autonomic nervous system assessment via EDA/GSR and respiratory pattern analysis.

02Comprehensive cardiovascular analysis including ECG/PPG processing and HRV metrics.

03Nonlinear dynamics tools for computing entropy, fractal dimensions, and signal complexity.

048 GitHub stars

05Advanced EEG processing for frequency band power, microstates, and complexity.

06Automated event-related and interval-related analysis modes for experimental data.

ユースケース

01Developing health-monitoring applications that require real-time processing of wearable biosensor data.

02Analyzing EEG brain activity patterns for cognitive science or neurofeedback studies.

03Conducting psychophysiological research to measure stress levels via heart rate and skin conductance.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi neurokit2

For use in Claude.ai and ChatGPT

Download Skill