https://github.com/selcia25/sleep-disorder-detection

💤This project aims to develop an automated method for detecting sleep disorders from heart rate signals.
https://github.com/selcia25/sleep-disorder-detection

cnn-classification kmeans-clustering machine-learning matplotlib scikit-learn scipy sleep-disorders tensorflow

Last synced: 3 months ago
JSON representation

💤This project aims to develop an automated method for detecting sleep disorders from heart rate signals.

• Host: GitHub
• URL: https://github.com/selcia25/sleep-disorder-detection
• Owner: selcia25
• License: mit
• Created: 2024-05-23T08:15:46.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-05-31T08:47:43.000Z (7 months ago)
• Last Synced: 2024-10-02T06:03:20.101Z (3 months ago)
• Topics: cnn-classification, kmeans-clustering, machine-learning, matplotlib, scikit-learn, scipy, sleep-disorders, tensorflow
• Language: HTML
• Homepage:
• Size: 13.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Sleep Disorder Detection from Heart Rate Signals

This project aims to develop an automated method for detecting sleep disorders from heart rate signals collected using a pulse oximeter. Sleep disorders can significantly impact an individual's health and quality of life. Early detection of these disorders is crucial for timely interventions and improved outcomes.

## Problem Statement

- Sleep disorders are prevalent and can impact health and quality of life.

- Current methods for diagnosing sleep disorders are manual, time-consuming, and subjective.

- There is a need for an automated method to detect sleep disorders from heart rate signals to improve efficiency and accuracy.

## Solution Approach

- Preprocess signals for denoising and feature extraction.

- Cluster heart rate signals using K-means clustering.

- Segment signals into shorter segments.

- Classify segments using a Convolutional Neural Network (CNN).

## Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/selcia25/sleep-disorder-detection.git

   ```

2. Install dependencies:

   ```bash

   pip install -r requirements.txt

   ```

3. Run the application:

   ```bash

   python app.py

   ```

## Usage

- Upload heart rate signal data in CSV format.

- View preprocessed data and segmented signals.

- Receive classification results indicating the presence of sleep disorders.

## Screenshots

![HomePage](assets/home.png)

![UploadPage](assets/upload.png)

![ResultPage](assets/graph.png)

![ResultPage](assets/segment.png)

![ResultPage](assets/report.png)

![ProcessPage](assets/process.png)

![SuggestionPage](assets/suggestion.png)

## License

This project is licensed under the MIT License - see the LICENSE.md file for details.