🧠 Biomedical Signal Analysis for Health Monitoring

This project analyzes real-world ECG (Electrocardiogram) signals using Python to demonstrate a complete biomedical signal processing pipeline — from raw data to feature extraction and basic machine learning.

It’s built to showcase signal processing, data handling, and applied ML in a healthcare/medical devices context.

🚀 Features

✅ Load real ECG data (MIT-BIH dataset via WFDB)

✅ Noise filtering using digital bandpass filters

✅ R-peak (heartbeat) detection

✅ Heart rate & variability feature extraction

✅ Basic ML-based classification

✅ Data visualization using Matplotlib

🛠 Tech Stack

Python

NumPy, SciPy – signal processing & numerical computing

Matplotlib – visualization

WFDB – real biomedical signal datasets

Scikit-learn – basic machine learning