/ECG_Classification

ECG Classification Using Deep Learning: This project uses CNNs to classify ECG reports into Normal, Abnormal, Myocardial Infarction (MI), and Heart Block (HB). It aims to automate the detection of cardiac conditions from ECG signals for enhanced diagnostic efficiency.

Primary LanguageJupyter NotebookMIT LicenseMIT

ECG Classification Project

This project is an ECG (Electrocardiogram) classification system that uses deep learning to classify ECG images into various categories. The workflow involves preprocessing images, training a convolutional neural network (CNN), and evaluating the model's performance.

Dataset

The dataset used in this project is from Kaggle:

Requirements

  • Python 3.x
  • OpenCV
  • NumPy
  • Matplotlib
  • TensorFlow/Keras
  • scikit-learn

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

If you have any questions or need further assistance, feel free to open an issue in this repository or contact your-email@example.com.