Electrocardiograph Paper Digitizer, Optimizer and Reader

This MATLAB project focuses on digitizing and analyzing ECG data from paper records, providing tools to optimize and interpret the data.

This MATLAB project focuses on digitizing and analyzing ECG data from paper records, providing tools to optimize and interpret the data for clinical or research purposes. The key features and functionalities include:

ECG Paper Digitization:

• Converts scanned ECG paper records into digital signals.
• Processes image-based ECG data for further analysis.

Signal Optimization:

• Applies filters to remove noise and artifacts from the digitized ECG signals.
• Enhances the quality of waveforms for accurate analysis.

ECG Signal Reading and Analysis:

• Extracts key ECG parameters (e.g., heart rate, PR interval, QRS complex).
• Identifies and highlights important waveforms such as P-wave, QRS complex, and T-wave.

Graphical Visualization:

• Displays optimized ECG waveforms in a user-friendly format.
• Allows overlay comparison of original and optimized signals for validation.

Special thanks to Mr. Catur Suharinto, i able to develop his project by adding image straightener, fixing mathematical problems in detecting greyscale image, fixing mathematical problem in interpreting PQRST wave, simplify the algortihm, filtering the noise in ecg image, and enhancing in rgb-greyscale image detection. Please visit his project too (https://www.mathworks.com/matlabcentral/fileexchange/64959-ecg-paper-image-to-vector).