Machine Learning and Cardiology

This project was set up by Maastricht University for 3rd year students. In this project, the separation of foetal and maternal ECGs is studied. Many techniques such as signal analysis using Fourier and wavelet decomposition, pattern recognition and data mining are introduced. Moreover, heartbeat classification is performed to detect hearth diseases and risks.

1. Project Overview
2. Introduction
3. Fetal Peak Detection - Preprocessing
4. Fetal Peak Detection - Methodology
5. Fetal Peak Detection - Results & Conclusions
6. Heartbeat Classification - Preprocessing
7. Heartbeat Classification - Methodology
8. Heartbeat Classification - Results
9. Heartbeat Classification - Conclusions

Copyright 2007 Thomas Debray, Jorn Martin Horschig, Dean Hawkins, Koen Jacobs

© 2010 Thomas Debray