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Can the regression trees be used to model relation between ECG leads?
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.
Department of Communication Systems, Jožef Stefan Institute, Ljubljana, Slovenia.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-1940-1747
2016 (engelsk)Inngår i: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2016, Vol. 169, s. 467-472Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2016. Vol. 169, s. 467-472
Emneord [en]
Derived electrocardiograms, Differential leads, ECG, Electrocardiography, Leads synthesis, Regression trees, Wireless electrodes, Forestry, Linear transformations, Mathematical transformations, Regression analysis, Correlation coefficient, Ecg measurements, Mapping relationships, Modeling relations, Output only, Internet of things
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Identifikatorer
URN: urn:nbn:se:mdh:diva-34534DOI: 10.1007/978-3-319-47063-4_50ISI: 000398616500050Scopus ID: 2-s2.0-85000870073ISBN: 9783319470627 (tryckt)OAI: oai:DiVA.org:mdh-34534DiVA, id: diva2:1059185
Konferanse
2nd International Summit on Internet of Things, IoT 360° 2015; Rome; Italy; 27 October 2015 through 29 October 2015; Code 186929
Tilgjengelig fra: 2016-12-22 Laget: 2016-12-22 Sist oppdatert: 2017-05-19bibliografisk kontrollert

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