RESP-AE

Table of Contents

• Project Description
• Features
• Installation
• Usage
• Contributing
• License
• Contact

Project Description

Respiratory Modulation with Morphological Autoencoders for Anomaly Detection. Experiments with two datasets (sleep apnea and breathing exercises). This work was featured here:

Abreu, M., Fred, A., Valente, J., Wang, C., & da Silva, H. P. (2020). Morphological autoencoders for apnea detection in respiratory gating radiotherapy. Computer Methods and Programs in Biomedicine, 195, 105675.

Features

• Preprocessing of two databases: Apnea-EEG and BrainAnswer-RGBT
• Respiratory Modulation with Autoencoders
• Classification
• Visualization

Installation

Prerequisites

• Python 3.8+
• Any other software or libraries needed

Steps

1. Clone the repository

   git clone https://github.com/username/repository-name.git

2. Navigate to the project directory

   cd repository-name

3. Create a virtual environment

   python3 -m venv venv

4. Activate the virtual environment
   • On Windows

     venv\Scripts\activate

   • On macOS and Linux

     source venv/bin/activate

5. Install the required dependencies

   pip install -r requirements.txt

Usage

Running the Project

Respiration Apnea Classification.ipynb