Skip to content

Respiration-rate-and-heart-rate-detection is a project developed for the Biomedical Signal Processing exam at the University of Milan (academic year 2020-2021). It implements an algorithm to analyze accelerometric signals collected with a smartphone positioned on the thorax while supine.

License

Notifications You must be signed in to change notification settings

FedericaPaoli1/Respiration-rate-and-heart-rate-detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MIT License


Respiration-rate-and-heart-rate-detection

Table of Contents
  1. About The Project
  2. Getting Started
  3. License
  4. Contact

About The Project

Respiration-rate-and-heart-rate-detection is a project developed for the Biomedical Signal Processing exam at the University of Milan (academic year 2020-2021). It implements an algorithm to analyze accelerometric signals collected with a smartphone positioned on the thorax while supine. Accelerometers contained in recent smartphones are sufficiently precise to detect small accelerations, like to ones induced on the thorax by the beating of the heart and movement of the lungs. So the validation of the code was performed by recording signals with different (controlled) respiration rates.

Built With

Getting Started

Prerequisites

  • MATLAB R2020b

Installation

  1. Clone the repo
    git clone https://github.com/FedericaPaoli1/Respiration-rate-and-heart-rate-detection.git
  2. Run the MATLAB sections

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Federica Paoli' - federicapaoli1@gmail.com

Project Link: https://github.com/FedericaPaoli1/Respiration-rate-and-heart-rate-detection

About

Respiration-rate-and-heart-rate-detection is a project developed for the Biomedical Signal Processing exam at the University of Milan (academic year 2020-2021). It implements an algorithm to analyze accelerometric signals collected with a smartphone positioned on the thorax while supine.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages