# Pacing_spike_removal_v2

Overview
Pacing_spike_removal_v2 is a MATLAB-based software for automated detection and removal of pacing artifacts from 12-lead ECG signals. Pacing artifacts, generated by cardiac implantable electronic devices, can distort ECG morphology and interfere with downstream analysis.  
This software provides a semi-automated workflow combining signal processing and user-guided refinement to accurately identify and remove both ventricular and atrial pacing artifacts while preserving underlying ECG morphology.
The algorithm follows a three-step approach:
1. Automatic detection and removal of pacing artifacts using high-frequency enhancement and peak detection.
2. Refinement step detects low-amplitude atrial artifacts using width-based criteria, when present.
3. Manual review and correction via an interactive graphical user interface.

Table of Contents
The repository includes the following files:
1.	ECGApp_final.m
 Main MATLAB application with graphical user interface (GUI) for pacing artifact detection and removal.
2. kors.m  
Implements the Kors transformation to convert 12-lead ECG signals into orthogonal XYZ leads for visualization and processing.
3. Test_file1.mat, Test_file2.mat  
  Example 12-lead ECG recordings for testing the application.  
  - Sampling rate: 500 Hz  
  - Amplitude resolution: 1 µV  
4. user_manual.pdf 
  Detailed instructions and screenshots describing how to use the software.

Requirements
- MATLAB (tested on MATLAB R2024a or later)
- No additional toolboxes are strictly required beyond standard MATLAB signal processing functions

Instructions
Step 1: Download Files
Download the following files:
- ECGApp_final.m
- kors.m
- Test_file1.mat/ Test_file2.mat  
Step 2: Launch the Application
1. Open MATLAB
2. Navigate to the folder containing the files
3. Open and run ‘ECGApp_final.m’