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RESP-AE

License Python

Table of Contents

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