/ECG-Classification-CNN

A repository of the code created for my University of Leeds Masters Project in Machine Learning

Primary LanguageJupyter Notebook

Electro-cardiogram Classification Study, University of Leeds

An experiment for my University of Leeds Masters Project in Machine Learning.

The experiment takes ECG scans and attempts to classify each heart beat into healthy and unhealthy catagories.

The files contained in legacy_code was writen in 2016 and being kept for posterity.

Data

The data is taken from the PTB diagnostic database: https://physionet.org/content/ptbdb/1.0.0/

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.