How do I install the dependencies for this skill?

You can install the core library using 'uv pip install neurokit2' or the latest development version directly from GitHub for the newest features.

Can I use this skill for heart rate variability (HRV) analysis?

Yes, it provides comprehensive HRV indices across time, frequency, and nonlinear domains, including metrics like SDNN, RMSSD, and Poincaré plots.

Can it process multiple signal types simultaneously?

Yes, the bio_module allows for the integration and simultaneous processing of multiple physiological data streams into a unified output.

Does it support event-related analysis?

Yes, NeuroKit2 automatically handles event-related analysis for short signal segments (<10s) and interval-related analysis for longer data recordings.

What types of biosignals can NeuroKit2 handle?

NeuroKit2 is a versatile toolkit that supports ECG (heart), EEG (brain), EDA/GSR (skin), respiratory patterns (RSP), EMG (muscle), EOG (eye), and PPG signals.

NeuroKit2 Biosignal Processing

Name: NeuroKit2 Biosignal Processing
Author: youyinnn

byyouyinnn

0•

데이터 과학 및 ML

Processes and analyzes complex physiological data including ECG, EEG, EDA, and respiratory signals using the NeuroKit2 Python library.

NeuroKit2 provides a comprehensive suite of tools for physiological signal processing, enabling researchers and developers to analyze cardiovascular, neural, and autonomic data with ease. It automates complex workflows such as R-peak detection in ECG, frequency band analysis in EEG, and skin conductance response detection in EDA. This skill is ideal for psychophysiology research, clinical data analysis, and human-computer interaction studies where multi-modal physiological integration and complexity measures are required.

주요 기능

01Automated EEG analysis including frequency power, microstates, and complexity measures

02Support for both event-related and interval-related physiological analysis modes

030 GitHub stars

04Multi-modal biosignal processing for ECG, EEG, EDA, RSP, EMG, and EOG

05Advanced Heart Rate Variability (HRV) analysis across time, frequency, and nonlinear domains

06Autonomic nervous system assessment via electrodermal activity (EDA) decomposition

사용 사례

01Processing skin conductance and respiratory data for psychophysiological experiment evaluations

02Analyzing EEG microstates and frequency bands for neuroscience research

03Conducting heart rate variability (HRV) analysis for stress or health monitoring applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add youyinnn/skills-collection neurokit2

For use in Claude.ai and ChatGPT

주요 기능

01Automated EEG analysis including frequency power, microstates, and complexity measures

02Support for both event-related and interval-related physiological analysis modes

030 GitHub stars

04Multi-modal biosignal processing for ECG, EEG, EDA, RSP, EMG, and EOG

05Advanced Heart Rate Variability (HRV) analysis across time, frequency, and nonlinear domains

06Autonomic nervous system assessment via electrodermal activity (EDA) decomposition

사용 사례

01Processing skin conductance and respiratory data for psychophysiological experiment evaluations

02Analyzing EEG microstates and frequency bands for neuroscience research

03Conducting heart rate variability (HRV) analysis for stress or health monitoring applications