nervous-analytics 0.2.5

Package implementing modular processes for real-time feature localization on ECG and EDA signals.

Nervous Analytics

Table of Contents

• Table of Contents
• Project Overview
• Prerequisites
• Installation
  • Example Command
• Contributing
• License
• Acknowledgments
• Contact

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Project Overview

Nervous Analytics is a comprehensive Python toolbox for physiological signals processing, such as electrocardiogram (ECG) or electrodermal activity (EDA). It is intended to be used for real-time processing of signals as well as off-line analysis.

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Prerequisites

• Python 3.11, 3.12 or 3.13

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Installation

pip install nervous-analytics

Example Command

# Launch the GUI for offline analysis of ECG signal

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Contributing

Contributions are what make the open-source community such a great place to learn, inspire, and create. Any contributions you make are greatly appreciated. You can open an issue to report a bug, request a feature, or submit a pull request.

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License

This project, along with the entire Nervous initiative, is licensed under the MIT License. For more details, see the License file.

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Acknowledgments

The main contributors to this project are Bertrand Massot, Matthieu Mesnage and Tristan Habémont from INSA Lyon, CNRS, INL UMR 5270, Villeurbanne, France.

This work was supported by the French National Research Agency (ANR) under grant ANR-22-CE31-0023-03 RENFORCE.

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Contact

[e-mail]

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