- -

A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records

Show simple item record

Files in this item

dc.contributor.author Cirugeda Roldán, Eva María es_ES
dc.contributor.author Cuesta Frau, David es_ES
dc.contributor.author Miró Martínez, Pau es_ES
dc.contributor.author Oltra Crespo, Sandra es_ES
dc.contributor.author Vigil-Medina, L. es_ES
dc.contributor.author Varela-Entrecanales, M. es_ES
dc.date.accessioned 2015-07-09T12:27:38Z
dc.date.available 2015-07-09T12:27:38Z
dc.date.issued 2014-05
dc.identifier.issn 0169-2607
dc.identifier.uri http://hdl.handle.net/10251/52894
dc.description.abstract [EN] This paper describes a new method to optimize the computation of the quadratic sample entropy (QSE) metric. The objective is to enhance its segmentation capability between pathological and healthy subjects for short and unevenly sampled biomedical records, like those obtained using ambulatory blood pressure monitoring (ABPM). In ABPM, blood pressure is measured every 20-30 min during 24h while patients undergo normal daily activities. ABPM is indicated for a number of applications such as white-coat, suspected, borderline, or masked hypertension. Hypertension is a very important clinical issue that can lead to serious health implications, and therefore its identification and characterization is of paramount importance. Nonlinear processing of signals by means of entropy calculation algorithms has been used in many medical applications to distinguish among signal classes. However, most of these methods do not perform well if the records are not long enough and/or not uniformly sampled. That is the case for ABPM records. These signals are extremely short and scattered with outliers or missing/resampled data. This is why ABPM Blood pressure signal screening using nonlinear methods is a quite unexplored field. We propose an additional stage for the computation of QSE independently of its parameter r and the input signal length. This enabled us to apply a segmentation process to ABPM records successfully. The experimental dataset consisted of 61 blood pressure data records of control and pathological subjects with only 52 samples per time series. The entropy estimation values obtained led to the segmentation of the two groups, while other standard nonlinear methods failed. (C) 2014 Elsevier Ireland Ltd. All rights reserved. es_ES
dc.description.sponsorship This work has been supported by the Spanish Ministry of Science and Innovation, research project TEC2009-14222.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation info:eu-repo/grantAgreement/MICINN//TEC2009-14222/ES/Interpretacion Y Caracterizacion De Metodos De Analisis De Complejidad En El Contexto Del Procesado Biomedico De La Señal/ es_ES
dc.relation.ispartof Computer Methods and Programs in Biomedicine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Quadratic sample entropy es_ES
dc.subject Blood pressure time series es_ES
dc.subject Biosignal classification es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cmpb.2014.02.008
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.description.bibliographicCitation Cirugeda Roldán, EM.; Cuesta Frau, D.; Miró Martínez, P.; Oltra Crespo, S.; Vigil-Medina, L.; Varela-Entrecanales, M. (2014). A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records. Computer Methods and Programs in Biomedicine. 114(3):231-239. https://doi.org/10.1016/j.cmpb.2014.02.008 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.cmpb.2014.02.008 es_ES
dc.description.upvformatpinicio 231 es_ES
dc.description.upvformatpfin 239 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 114 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 280185
dc.identifier.eissn 1872-7565
dc.identifier.pmid 24685244
dc.contributor.funder Ministerio de Ciencia e Innovación


This item appears in the following Collection(s)

Show simple item record