Loading...

Classification of Cardiac Signals using Deep Learning Networks

Research Paper (undergraduate) 2018 15 Pages

Computer Science - Bioinformatics

Summary

Because of the importance of the medical domain, the combination of health care and advancements in artificial intelligence is a research area of high interest. In this case, deep learning networks are employed to process ECG (Electrocardiography) signals. More precisely, the objective is to investigate what neural networks can learn from a cardiac signal and visualize this representation in the best possible way. The used approach is to look at different autoencoders and decide which architecture is best suited for this task. This work could possibly lay the groundwork to build a classification network with the purpose of detecting the health of patients’ hearts in an automated manner.

Details

Pages
15
Year
2018
File size
891 KB
Language
English
Catalog Number
v426714
Institution / College
Maastricht University – Department of Data Science and Knowledge Engineering
Grade
7
Tags
Data Scienc Deep Learning ECG AutoEncoder bioinformatics

Author

Share

Previous

Title: Classification of Cardiac Signals using Deep Learning Networks