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Content Provider | IEEE Xplore Digital Library |
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Author | Soguero-Ruiz, C. Lechuga, L. Mora-Jimenez, I. Ramos-Lopez, J. Barquero-Perez, O. Garcia-Alberola, A. Rojo-Alvarez, J.L. |
Copyright Year | 2012 |
Description | Author affiliation: Hospital Universitario de Fuenlabrada, Fuenlabrada, Spain (Lechuga, L.) || Unit of Arrhythmias, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain (Garcia-Alberola, A.) || Department of Signal Theory and Communications, University Rey Juan Carlos, Madrid, Spain (Soguero-Ruiz, C.; Mora-Jimenez, I.; Ramos-Lopez, J.; Barquero-Perez, O.) |
Abstract | Although Cardiovascular Risk Stratification (CVRS) based on indices derived from electrocardiogram has been deeply studied, many current findings are not being widely used in the clinical practice. We proposed a framework for CVRS on the Heart Rate Turbulence (HRT) domain, because of its concise guidelines and index calculations. An ontology was built according to a set of rules defining clinical, anatomical, and electrophysiological features. Unlike other biomedical ontologies, ours was based on SNOMED-CT, what guaranteed the standardization and interoperability with emerging Electronic Health Records. The HRT ontology consisted of 310 concepts (289 taken from SNOMED-CT, and 19 as a local extension to model the main concepts of the HRT domain). As a case application, a database of 24-h Holter recordings from 27 patients with Congestive Heart Failure was analyzed, in which basic HRT indices from conventional and emergent signal processing procedures were compared, providing a consistence of 86% and 77% between averaged procedure for HRT index calculations and two processing procedures. |
Starting Page | 89 |
Ending Page | 92 |
File Size | 308105 |
Page Count | 4 |
File Format | |
ISBN | 9781467320764 |
ISSN | 2325887X |
e-ISBN | 9781467320771 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-09-09 |
Publisher Place | Poland |
Access Restriction | Subscribed |
Rights Holder | Creative Commons Attribution License 2.5 (CCAL) |
Subject Keyword | Ontologies Electrocardiography Interoperability Heart rate OWL Signal processing |
Content Type | Text |
Resource Type | Article |
Subject | Computer Science Cardiology and Cardiovascular Medicine |
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