💓 ECG Signal Analysis

A MATLAB-based system for analyzing electrocardiogram (ECG) signals using digital signal processing techniques to detect cardiac patterns and anomalies.

This project uses MATLAB's Signal Processing Toolbox to analyze bio-electrical ECG signals. It applies digital filtering to remove noise and extracts key features from the signal to support downstream cardiac anomaly detection.

• ECG Signal Analysis — processes raw ECG waveforms using MATLAB's Signal Processing Toolbox
• Noise Filtering — digital filtering techniques to clean bio-electrical signals
• Feature Extraction — extracts key signal features (e.g., R-peaks, intervals) for further analysis
• Anomaly Detection — identifies irregular cardiac patterns from processed signals

• Language/Platform: MATLAB
• Toolbox: Signal Processing Toolbox

1. Signal Acquisition — loads raw ECG signal data
2. Filtering — applies digital filters to remove noise and baseline wander
3. Feature Extraction — extracts key waveform features from the cleaned signal
4. Pattern/Anomaly Detection — analyzes extracted features to flag irregular cardiac patterns

% Open MATLAB and run:
main.m

(عدّل اسم السكربت الرئيسي حسب الملف الفعلي بالمشروع)

(أضف هنا رسم بياني (plot) لإشارة ECG قبل/بعد الفلترة — بيوضح شغل المشروع بشكل ممتاز لمشاريع الـ signal processing)

Ahmad Al-Bashir

• LinkedIn: ahmad-shogran
• Portfolio: a7mad-03.github.io/ahmad-portfolio
• Email: shograna2003@gmail.com

This project is licensed under the MIT License.