🫀ECG Heart Rate Analyzer
A user-friendly Python application has been developed to analyze Electrocardiogram (ECG/EKG) data and calculate heart rate. This Python code is designed for amateur users and features an easy-to-use graphical interface (GUI) for loading ECG data, calculating heart rate, and visualizing ECG signals with R-peaks. It is ideal for individuals who are learning to work with ECG data.
- Import ECG Data: Import ECG data from a CSV file for analysis. The noisy signal is accepted, and simple noise reduction is performed in the code.
- Heart Rate Calculation: Automatically detect R-peaks in the ECG signal and calculate heart rate in beats per minute (bpm).
- ECG Visualization: View the ECG signal and see R-peaks plotted on the graph.
- Graphical User Interface (GUI): An easy-to-use interface built with
tkinterthat allows users to interact with the tool without needing to code. - Help Feature: A built-in help button explains how to load data, analyze it, and use the interface.
- This project is licensed under the MIT License. See the LICENSE file for details.
- This project was inspired by tutorials on working with ECG data in Python. Thanks to the Python community and scientific libraries like
numpy,scipy,tkinter, andmatplotlibfor making such projects possible.
The application expects the ECG data to be in a CSV file with a single column named ECG. Here's an example of how the data should look:
| ECG |
|---|
| 0.1 |
| 0.2 |
| 0.3 |
| ... |
To run this application, you need to have the following libraries installed:
numpypandasscipymatplotlibtkinter(pre-installed with most Python version)
You can install the required libraries using:
pip install numpy pandas scipy matplotlib
py -m pip install numpy pandas scipy matplotlib