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Can the Regression Trees Be Used to Model Relation Between ECG Leads?

Authors:

Ivan Tomasic, Roman Trobec, Maria Lindén

Research groups:

Artificial Intelligence and Intelligent Systems
Biomedical Engineering

Publication Type:

Conference/Workshop Paper

Venue:

2nd EAI International Conference on IoT Technologies for HealthCare

Publisher:

Springer

DOI:

10.1007/978-3-319-47063-4

Abstract

Presented is a preliminary study that investigates regression trees application for the purpose of mapping relationship between three differential ECG leads and leads of the 12-lead ECG. The approach was evaluated on a single ECG measurement on which it was superior to two syntheses performed by universal and personalized linear transformations, in terms of correlation coefficients between the synthesized and measured leads. A prominent imperfection however is that the regression trees can output only a limited number of values equal to the number of leaf nodes. The paper indicates some ideas on how to overcome this deficiency.

Bibtex

@inproceedings{Tomasic4148,
author = {Ivan Tomasic and Roman Trobec and Maria Lind{\'e}n},
title = {Can the Regression Trees Be Used to Model Relation Between ECG Leads?},
isbn = {978-3-319-47062-7},
pages = {467--472},
month = {November},
year = {2015},
booktitle = {2nd EAI International Conference on IoT Technologies for HealthCare},
publisher = {Springer},
url = {http://www.es.mdu.se/publications/4148-}
}