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

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

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Cirugeda Roldan, 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. doi:10.1016/j.cmpb.2014.02.008

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/52894

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Title: A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica
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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 ...[+]
Subjects: Quadratic sample entropy , Blood pressure time series , Biosignal classification
Copyrigths: Cerrado
Source:
Computer Methods and Programs in Biomedicine. (issn: 0169-2607 ) (eissn: 1872-7565 )
DOI: 10.1016/j.cmpb.2014.02.008
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.cmpb.2014.02.008
Thanks:
This work has been supported by the Spanish Ministry of Science and Innovation, research project TEC2009-14222.
Type: Artículo

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