Cardiac Signal Processing

A MATLAB-based interface for analyzing and interpreting cardiac signals.

🧠 Project Overview

This was one of my first serious software development projects using MATLAB, focused on biomedical signal processing. The goal was to create a user-friendly interface that allows users to upload cardiac signal data and extract meaningful metrics and visualizations.

❤️ Key Features

• User-uploaded signal support: The interface allows users to load their own ECG or cardiac signal files for processing.
• Signal visualization: Plots time-series data with adjustable zoom and scaling.
• Feature extraction: The app identifies peaks, intervals, and can provide HR (heart rate) calculations.
• Modular design: Structured with functions to allow easy extension or modification.

🛠️ Technologies Used

• MATLAB App Designer: Used to create the graphical user interface.
• Signal Processing Toolbox: For filtering, peak detection, and feature analysis.
• Basic GUI controls: Sliders, dropdowns, and plots for interaction and parameter tuning.

🚀 What Did I Learn?

• The basics of MATLAB programming and how to build graphical interfaces using App Designer.
• Signal processing principles such as filtering, noise reduction, and peak detection.
• A foundational understanding of cardiac physiology and how it reflects in signal patterns (e.g., QRS complexes).
• Designing modular code that separates logic, user interaction, and visualization.

🎯 Final Thoughts

Although this project was extremely challenging at the time—given that I was learning MATLAB, signal processing, and medical terminology all at once—it was a major milestone in my academic and technical development. It sparked my interest in biomedical engineering and laid the foundation for future work in health-related software.