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Browsing by Author "Oltra Crespo, Sandra"

Now showing items 1-11 of 11

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

Cirugeda Roldán, Eva María; Cuesta Frau, David; Miró Martínez, Pau; Oltra Crespo, Sandra; Vigil-Medina, L.; Varela-Entrecanales, M. (Elsevier, 2014-05)

[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 ...
Análisis de la variación de la Población Ocupada por Comunidades Autónomas mediante modelos de regresión

Rosado Cantó, Lirios (Universitat Politècnica de València, 2015-09-16)

[ES] Este trabajo consiste en el análisis de la variación de la población ocupada mediante técnicas propias del análisis multivariante. En concreto, se emplean modelos de regresión lineal. El objetivo principal del estudio ...
Can spatial distribution of ungulates be predicted by modeling camera trap data related to landscape indices? A case study in a fragmented mediterranean landscape

Belda, Antonio; Oltra Crespo, Sandra; Miró Martínez, Pau; Zaragozí, Benito (Universidad Nacional de Colombia, 2020-01-01)

[EN] Camera trap applications range from studying wildlife habits to detecting rare species, which are difficult to capture by more traditional techniques. In this work, we aimed at finding the best model to predict the ...
Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm

Cuesta Frau, David; Miró Martínez, Pau; Oltra Crespo, Sandra; Jordán Núñez, Jorge; Vargas-Rojo, B.; Vigil-Medina, Luis (Elsevier, 2018)

[EN] Background and objectives : The adoption in clinical practice of electronic portable blood or interstitial glucose monitors has enabled the collection, storage, and sharing of massive amounts of glucose level readings. ...
Comparative study of approximate entropy and sample entropy robustness to spikes

Molina Picó, Antonio; Cuesta Frau, David; Riobo Aboy, Pedro Mateo; Crespo Sánchez, María Cristina; Miró Martínez, Pau; Oltra Crespo, Sandra (Elsevier, 2011-10)

Objective: There is an ongoing research effort devoted to characterize the signal regularity metrics approximate entropy (ApEn) and sample entropy (SampEn) in order to better interpret their results in the context of ...
Comparative study of entropy sensitivity to missing biosignal data

Cirugeda Roldán, Eva María; Cuesta Frau, David; Miró Martínez, Pau; Oltra Crespo, Sandra (MDPI, 2014-11)

Entropy estimation metrics have become a widely used method to identify subtle changes or hidden features in biomedical records. These methods have been more effective than conventional linear techniques in a number of ...
Comparison of primary models to predict microbial growth by the plate count and absorbance methods

Pla-Ferrando, L; Oltra Crespo, Sandra; Esteban, María-Dolores; Andreu, Santiago; Palop, Alfredo (Hindawi Publishing Corporation, 2015-06)

The selection of a primary model to describe microbial growth in predictive food microbiology often appears to be subjective. The objective of this research was to check the performance of different mathematical models in ...
Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination

Molina Picó, Antonio; Cuesta Frau, David; Miró Martínez, Pau; Oltra Crespo, Sandra; Riobo Aboy, Pedro Mateo (Elsevier, 2013-04)

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 ...
Model Selection for Body Temperature Signal Classification Using Both Amplitude and Ordinality-Based Entropy Measures

Cuesta Frau, David; Miró Martínez, Pau; Oltra Crespo, Sandra; Jordán Núñez, Jorge; Vargas-Rojo, B.; González, Paula; Varela-Entrecanales, Manuel (MDPI AG, 2018)

[EN] Many entropy-related methods for signal classification have been proposed and exploited successfully in the last several decades. However, it is sometimes difficult to find the optimal measure and the optimal parameter ...
Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics

Cuesta Frau, David; Miró Martínez, Pau; Jordán Núñez, Jorge; Oltra Crespo, Sandra; Molina Picó, Antonio (Elsevier, 2017)

[EN] This paper evaluates the performance of first generation entropy metrics, featured by the well known and widely used Approximate Entropy (ApEn) and Sample Entropy (SampEn) metrics, and what can be considered an evolution ...
Obsolescència tecnològica i reutilització de maquinari amb programari lliure

Lloret Sanantón, Alfonso (Universitat Politècnica de València, 2013-11-12)

Es planteja com a objectiu general d'aquest projecte estudiar i investigar com es poden reutilitzar aparells electronics mitjan cant programari lliure, donantlos un us social i cooperatiu. Els objectius s'estructuran en ...