[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 ...
[EN] Continuous monitoring of breathing frequency (f(B)) could foster early prediction of adverse clinical effects and exacerbation of medical conditions. Current solutions are invasive or obtrusive and thus not suitable ...
Rodríguez-Sotelo, Jose Luis; Osorio-Forero, Alejandro; Jiménez-Rodríguez, Alejandro; Cuesta Frau, David; Cirugeda Roldán, Eva María; Peluffo, Diego(MDPI, 2014)
Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concern is to find a correlation between several physiologic variables and sleep stages. There is a scientific agreement on the ...
Molina Picó, Antonio(Editorial Universitat Politècnica de València, 2014-09-03)
Los sistemas fisiológicos generan señales eléctricas durante su funcionamiento. Estas
señales pueden ser registradas y representadas, constituyendo un elemento
fundamental de ayuda al diagnóstico en la práctica clínica ...
[EN] This paper analyses the performance of SampEn and one of its derivatives, Fuzzy Entropy (FuzzyEn), in the context of artifacted blood glucose time series classification. This is a difficult and practically unexplored ...
Atrial fibrillation (AF) is the most commonly clinically-encountered arrhythmia.
Catheter ablation of AF is mainly based on trigger elimination and modification of the AF
substrate. Substrate mapping ablation of complex ...
Cuesta Frau, David; Miró Martínez, Pau; Oltra Crespo, Sandra; Molina Picó, Antonio; Vargas, Borja; González, Paula; Mahabala, Chakrapani; Pradeepa H. Dakappa(Springfield MO: American Institute of Mathematical Sciences, 2019-09-30)
[EN] Feveris a common symptom of many diseases. Fever temporal patterns can be different depending on the specific pathology. Differentiation of diseases based on multiple mathematical features and visua lobservations has ...
[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. ...
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 ...
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 ...
Torres Penalva, José Eduardo(Universitat Politècnica de València, 2017-04-04)
[EN] The project will be based on the development and implementation of a multicomputer cluster system from recycled equipment, will be mainly oriented to computing, where the process will involve the execution of parallel ...
Carricondo Monter, Aitor(Universitat Politècnica de València, 2017-12-15)
[ES] Desarrollo de una implementación de sistema domótico para el control y monitorización de varios elementos habituales en el entorno domiciliario: luces, persianas, puertas, etc. El desarrollo se basa en el novedoso ...
[EN] Complexity analysis of glucose time series with Detrended Fluctuation Analysis (DFA) has been proved to be useful for the prediction of type 2 diabetes mellitus (T2DM) development. We propose a modified DFA algorithm, ...
Body temperature is a health or disease marker that has been in clinical use for centuries. The threshold currently applied to define fever, with small variations, is 38 °C. However, current approaches do not provide a ...
Buendía Nogués, Andrés Alberto(Universitat Politècnica de València, 2015-01-29)
El proyecto trata de crear un sistema de seguridad mediante sensores, con el fin de controlar
los peligros mas comunes en un hogar. Es sistema está implementado bajo la plataforma Arduino, la cual tendrá el control de ...
[EN] Permutation Entropy (PE) is a time series complexity measure commonly used in a variety
of contexts, with medicine being the prime example. In its general form, it requires three input
parameters for its calculation: ...