A wildland fire is an uncontrolled fire that occurs mainly in forest areas, although it can also invade urban or agricultural areas. Among the main causes of wildfires, human factors, either intentional or accidental, are ...
[EN] We present i-Light, a cyber-physical platform that aims to help older adults to live safely within their own homes. The system is the result of an international research project funded by the European Union and is ...
Rubio-Quintanilla Vicedo, Alejandro(Universitat Politècnica de València, 2024-07-30)
[ES] El principal objetivo de este TFG es llevar a cabo una implementación completa (hardware y software) de un módulo de comunicaciones (recepción y transmisión) basado en el estándar aeronáutico ARINC-717. Estos estándares ...
Rodríguez Martínez, David(Universitat Politècnica de València, 2016-11-14)
[ES] El objetivo de este proyecto es implementar una red de monitorización medioambiental
de bajo coste basada en nodos Arduino. Cada uno de estos nodos incorpora una serie
de sensores: temperatura, humedad, monóxido de ...
[EN] Diabetes is a disease of great and rising prevalence, with the obesity epidemic being a significant contributing risk factor. Duodenal¿jejunal bypass liner (DJBL) is a reversible implant that mimics the effects of ...
[EN] Background The endoscopically implanted duodenal-jejunal bypass liner (DJBL) is an attractive alternative to bariatric surgery for obese diabetic patients. This article aims to study dynamical aspects of the glycaemic ...
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 ...
Tomás Morata, Adrián(Universitat Politècnica de València, 2020-11-10)
[ES] La tecnología juega un papel muy importante a la hora de afrontar las injusticias que las discapacidades como amputaciones o problemas neuromusculares provocan. Las investigaciones de interfaces persona-computador ...
Cirugeda Roldán, Eva María(Editorial Universitat Politècnica de València, 2014-09-03)
Las medidas de complejidad son un conjunto de métodos estadísticos que permiten
estimar la regularidad de un sistema. Estos métodos se basan en técnicas de
análisis no lineal de forma que se pueda caracterizar un señal ...
[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 ...
[EN] Emerging Industry 4.0 applications require ever-increasing amounts of data and new sources of information to more accurately characterize the different processes of a production line. Industrial Internet of Things ...
Martinez-Tabares, F. J.; Costa-Salas, Y. J.; Cuesta Frau, David; Castellanos-Dominguez, G.(Hindawi Publishing Corporation, 2016)
Wearable sensor systems will soon become part of the available medical tools for remote and long term physiological monitoring. However, the set of variables involved in the performance of these systems are usually ...
Murillo-Escobar, J.; Jaramillo Munera, Y. E.; Orrego-Metaute, D. A.; Delgado-Trejos, E.; Cuesta Frau, David(2020)
[EN] Muscle fatigue is an important field of study in sports medicine and occupational health. Several studies in the literature have proposed methods for predicting muscle fatigue in isometric contractions using three ...
[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 ...
Micó Tormos, Pau(Universitat Politècnica de València, 2008-05-06)
El trabajo presentado, pretende dar continuidad a la línea de trabajo iniciada con una tesis previa titulada ''Estudio de métodos para procesamiento y agrupación de señales electrocardiográficas''. La problemática a abordar ...
[EN] Despite its widely demonstrated usefulness, there is still room for improvement in the basic Permutation Entropy (PE) algorithm, as several subsequent studies have proposed in the recent years. For example, some ...
[EN] Permutation Entropy (PE) is a very popular complexity analysis tool for time series. Despite its simplicity, it is very robust and yields goods results in applications related to assessing the randomness of a sequence, ...