https://github.com/ahmedfgad/ecg-peak-bottom-detector-matlab

Detect Peaks and Bottoms of ECG Image Signals in MATLAB
https://github.com/ahmedfgad/ecg-peak-bottom-detector-matlab

ecg image-processing matlab signal-processing

Last synced: about 2 months ago
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Detect Peaks and Bottoms of ECG Image Signals in MATLAB

• Host: GitHub
• URL: https://github.com/ahmedfgad/ecg-peak-bottom-detector-matlab
• Owner: ahmedfgad
• Created: 2022-01-30T18:50:34.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-04-08T19:42:17.000Z (almost 2 years ago)
• Last Synced: 2024-05-21T02:56:23.599Z (8 months ago)
• Topics: ecg, image-processing, matlab, signal-processing
• Language: MATLAB
• Homepage:
• Size: 14.6 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml

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README

        
# Detect Peaks and Bottoms of ECG Image Signals in MATLAB

This project detects the peaks and bottoms of ECG image signals using MATLAB. 

The project has a single file called `peakFinder.m` which has a function with the same name with the following signature:

```MATLAB

function [detectedPeaks, detectedBottoms] = peakFinder(signal)

```

It accepts the image name as text and returns the 2 matrices `detectedPeaks` and `detectedBottoms`.

For each detected peak or bottom, 2 values are inserted into the corresponding matrix. The 2 values refer to the Y and X of the detected peak/bottom. So, if there are 4 peaks detected, then the size of the `detectedPeaks` matrix is `(1, 8)`.

The [example.jpg](https://github.com/ahmedfgad/signal-peak-bottom-finder-MATLAB/blob/main/example.jpg) image is shown below.

![example](https://user-images.githubusercontent.com/16560492/151713305-24804968-bcc9-4a60-a8b9-8556b49d281c.jpg)

After calling the `peakFinder()` function, the [detected_peaks_bottoms](https://github.com/ahmedfgad/signal-peak-bottom-finder-MATLAB/blob/main/detected_peaks_bottoms.png) image marks the peaks with green dots and bottoms with red dots.

![detected_peaks_bottoms](https://user-images.githubusercontent.com/16560492/151713316-f50bfa10-c3d8-40d6-9349-5b8b8712d549.png)

This is the output after printing the `detectedPeaks` matrix. Because there are 12 peaks detected, then the size of this matrix is `(1, 24)`.

```MATLAB

detectedPeaks =

 Columns 1 through 13:

     9    11     6    35     9    58    11    83    12   107    12   132    10

 Columns 14 through 24:

   159    12   188    15   224    17   264    17   309     1   350

```

This is the output after printing the `detectedBottoms` matrix.

```MATLAB

detectedBottoms =

 Columns 1 through 13:

    77     9    77    33    76    57    78    81    77   106    77   131    77

 Columns 14 through 24:

   157    79   186    82   223    82   263    82   307    88   350

```