loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ivan Tomasic 1 ; Roman Trobec 2 and Viktor Avbelj 2

Affiliations: 1 Jozef Stefan Institute, Slovenia ; 2 Jožef Stefan Institute, Slovenia

ISBN: 978-989-674-016-0

ISSN: 2184-4305

Keyword(s): ECG, MECG, Multivariate Linear Regression, Synthesis, Derivation, Bipolar leads, Wireless electrodes.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Design and Development Methodologies for Healthcare IT ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering

Abstract: The development of new technologies for electrocardiographic (ECG) monitoring enables the optimization of ECG recording strategy, in terms of a number and a position of body electrodes. Emerging wireless technology, together with requirements for improved wearing comfort, dictates a special design of a wireless bipolar ECG lead, which is composed of two closely placed electrodes. The measurements from a set of wireless electrodes, can serve for the reconstruction of the standard 12-lead ECG, which is directly applicable for the current medical knowledge. We present a method for synthesizing 12-lead ECG from only three bipolar leads. The result of the proposed method, based on multivariate linear regression, is a coefficients vector that transforms the data from three bipolar leads to a synthesized 12-leads ECG with minimum loss of diagnostic information. Two presented test cases show that a linear combination of only three bipolar leads, each obtained from two electrodes on a distance of 5 cm, suffices for a reliable synthesis of a standard 12-lead ECG. Wireless ECG leads can constitute a body sensor network that eliminates the need for additional wires and therefore improves the applicability of ECG device technology. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.206.194.134

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Tomasic I.; Trobec R.; Avbelj V. and (2010). MULTIVARIATE LINEAR REGRESSION BASED SYNTHESIS OF 12-LEAD ECG FROM THREE BIPOLAR LEADS.In Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 216-221. DOI: 10.5220/0002697702160221

@conference{healthinf10,
author={Ivan Tomasic and Roman Trobec and Viktor Avbelj},
title={MULTIVARIATE LINEAR REGRESSION BASED SYNTHESIS OF 12-LEAD ECG FROM THREE BIPOLAR LEADS},
booktitle={Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={216-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002697702160221},
isbn={978-989-674-016-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)
TI - MULTIVARIATE LINEAR REGRESSION BASED SYNTHESIS OF 12-LEAD ECG FROM THREE BIPOLAR LEADS
SN - 978-989-674-016-0
AU - Tomasic, I.
AU - Trobec, R.
AU - Avbelj, V.
PY - 2010
SP - 216
EP - 221
DO - 10.5220/0002697702160221

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.