https://github.com/sabaudian/ecg_mmf_project

ECG signal conditioning by Morphological Filtering - Biomedical Signal Processing project
https://github.com/sabaudian/ecg_mmf_project

biomedical-signal-processing ecg ecg-signal filtering heartbeat matlab morphological-filtering morphological-filters morphological-operators noise-reduction signal-processing structuring-elements university-project

Last synced: about 2 months ago
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ECG signal conditioning by Morphological Filtering - Biomedical Signal Processing project

• Host: GitHub
• URL: https://github.com/sabaudian/ecg_mmf_project
• Owner: Sabaudian
• License: mit
• Created: 2022-03-12T15:35:00.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-06-22T09:30:12.000Z (11 months ago)
• Last Synced: 2025-03-25T09:12:21.684Z (2 months ago)
• Topics: biomedical-signal-processing, ecg, ecg-signal, filtering, heartbeat, matlab, morphological-filtering, morphological-filters, morphological-operators, noise-reduction, signal-processing, structuring-elements, university-project
• Language: MATLAB
• Homepage:
• Size: 3.26 MB
• Stars: 9
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# ABSTRACT #

ECG signal conditioning by morphological Filtering

## MATLAB (v.R2022a) Requirements ## 

- **Communications Toolbox** 

- (**Image Processing Toolbox**, if you want to use the build-in functions like: imopen, imclose, imerode and imdilate to process the signal)

## STRUCTURE ##

- **ECG_MMF.m**: main class of the project.

- **GenDrift.m**, **GenNoise.m** and **GenStrel.m**: generation of structures and artifacts useful for the project.

- **erosion.m**, **dilatation.m**, **closing.m** and **opening.m**: definition of the morphological processes.

## INFO ##

The directory '*dataset*' contains a series of ECG signals recovered from the [physionet database](https://physionet.org/content/mitdb/1.0.0/)

The functions '*erosion.m*', '*dilatation.m*', '*closing.m*' and '*opening.m*' are used to process the signals. The functions '*GenDrift.m*', '*GenStrel.m*' are used to generate respectively a baseline drift in the signal and to generate a bunch of Structuring Element to operate on signals. 

If you do not want to use the **Communication Toolbox** with the '*awgn*' (Add White Gaussian Noise) function, instead you can adopt the '*GenNoise*' function to generate noise.

## DOCUMENTATION ##

To built this project I have used the following papers:

- [ECG signal conditioning by morphological filtering](https://www.sciencedirect.com/science/article/abs/pii/S0010482502000343?via%3Dihub)

- [Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators](https://www.sciencedirect.com/science/article/abs/pii/S0010482502000343?via%3Dihub)

The pdf file named as *'Progect_Review'* consist in a simple presentation of the project.