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Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination.

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Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination.

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Molina Picó, A.; Cuesta Frau, D.; Miró Martínez, P.; Oltra Crespo, S.; Riobo Aboy, PM. (2013). Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination. Computer Methods and Programs in Biomedicine. 110(1):2-11. doi:10.1016/j.cmpb.2012.10.014

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Title: Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination.
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
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Abstract:
Signal entropy measures such as Approximate Entropy (ApEn) and Sample Entropy (SampEn) are widely used in Heart Rate Variability (HRV) analysis and biomedical research. In this article, we analyze the influence of QRS ...[+]
Subjects: Heart rate variability , QRS detection , Approximate entropy , Sample entropy
Copyrigths: Cerrado
Source:
Computer Methods and Programs in Biomedicine. (issn: 0169-2607 )
DOI: 10.1016/j.cmpb.2012.10.014
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.cmpb.2012.10.014
Thanks:
This work has been supported by the Spanish Ministry of Science and Innovation, research project TEC2009-14222.
Type: Artículo

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