Examinando por Autor "Espinilla-Estévez, Macarena"
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Ítem Dispositivos vestibles para sistemas inteligentes de monitorización en salud(Jaén : Universidad de Jaén, 2021-10-27) Albín-Rodríguez, Antonio Pedro ; De la Fuente, Yolanda María ; Espinilla-Estévez, Macarena; Universidad de Jaén. Departamento de PsicologíaEn los últimos años está surgiendo una fuerte tendencia investigadora para mejorar la salud de las personas mediante el uso de dispositivos electrónicos pequeños, dotados de sensores, que puedan conectarse entre sí, y que permitan recoger datos relevantes de la persona que lo lleve. Esta tesis doctoral propone la integración de estos dispositivos vestibles en sistemas que realicen un procesamiento inteligente aplicando lógica difusa, para llevar a cabo la monitorización continua de un indicador de salud que sea relevante. La investigación realizada propone y evalúa dos sistemas inteligentes en el contexto de salud que integran información generada por dispositivos vestibles con sensores. En primer lugar, se propone y evalúa un sistema inteligente para monitorizar comportamiento hiperactivo en adolescentes a través de pulseras de actividad y, en segundo lugar, un sistema inteligente para monitorizar la localización de personas mayores en interiores mediante dispositivos móviles/vestibles y balizas de Bluetooth de baja energía.Ítem Fuzzy intelligent system for patients with preeclampsia in wearable devices(Wiley, 2017-10-12) Espinilla-Estévez, Macarena; Medina-Quero, Javier; García-Fernández, Ángel Luis; Campaña, Sixto; Londoño, JorgePreeclampsia affects from 5% to 14% of all pregnant women and is responsible for about 14% of maternal deaths per year in the world. This paper is focused on the use of a decision analysis tool for the early detection of preeclampsia in women at risk. This tool applies a fuzzy linguistic approach implemented in a wearable device. In order to develop this tool, a real dataset containing data of pregnant women with high risk of preeclampsia from a health center has been analyzed, and a fuzzy linguistic methodology with two main phases is used. Firstly, linguistic transformation is applied to the dataset to increase the interpretability and flexibility in the analysis of preeclampsia. Secondly, knowledge extraction is done by means of inferring rules using decision trees to classify the dataset. The obtained linguistic rules provide understandable monitoring of preeclampsia based on wearable applications and devices. Furthermore, this paper not only introduces the proposed methodology, but also presents a wearable application prototype which applies the rules inferred from the fuzzy decision tree to detect preeclampsia in women at risk. The proposed methodology and the developed wearable application can be easily adapted to other contexts such as diabetes or hypertension.Ítem Intelligent multi-dose medication controller for fever: From wearable devices to remote dispensers(Elsevier, 2018-02-02) Medina-Quero, Javier; Espinilla-Estévez, Macarena; García-Fernández, Ángel-Luis; Martínez-López, LuisIn this work, an Intelligent Medication Controller which analyzes the data streams from body temperature provided by a wearable device is proposed in order to dispense in a low-cost remote dispenser installed at home. The main innovation of our approach is a pharmacokinetic and pharmacodynamic analysis based on the successful fuzzy linguistic approach and fuzzy logic. This analysis provides accuracy and adherence to patient fever in the decision making of medication intakes, adequating the doses and waiting time based on previous intakes. In order to show its efficiency, a case study is presented, in which a complete range of fever episodes is analyzed to compare the decision making in medication intakes of antipyretics between the human expert and the proposed Intelligent Medication Controller. Our proposal has obtained an encouraging performance when recommending medication intakes in a flexible way and assuring a secure response for contraindication cases.Ítem Modelo lingüístico difuso para problemas de evaluación con información heterogénea considerando la posible dependencia entre criterios. Aplicación a la evaluación del desempeño integral(Jaén : Universidad de Jaén, 2016-01-29) Martínez-Mimbrera, Francisco-Jesús; Martínez-López, Luis; Espinilla-Estévez, Macarena; De-Andrés-Calle, Rocío; Universidad de Jaén. Departamento de Informática[ES] En esta tesis doctoral se ha desarrollado un modelo lingüístico difuso para llevar a cabo procesos de evaluación de desempeño integral o 360-grados que permite cubrir las necesidades demandadas actualmente en los procesos de evaluación de desempeño. Dicho modelo permite manejar información heterogénea representada en dominios numéricos, intervalares y lingüísticos, expresando los resultados intermedios y finales de manera lingüística para facilitar la interpretación de los mismos. Además, éste tiene en consideración el peso de los criterios y la importancia de los colectivos evaluadores para fusionar la información, considerando también la posible dependencia de los criterios evaluados para agregar las valoraciones proporcionadas, utilizando para ello operadores de agregación lingüísticos.Ítem Monitoring Environments with New Generation Devices(Springer, 2023-11-25) Montoro-Lendínez, Alicia; López-Ruiz, José Luis; Barbero-Rodríguez, María Paz; Díaz-Jiménez, David; Nugent, Chris; Espinilla-Estévez, MacarenaCurrently, a number of studies have found that high levels of carbon dioxide in an enclosed space increase the probability of COVID19 infection and can have adverse health effects. The control of the levels of certain gases, such as carbon dioxide, has become significantly relevant during the period of the COVID-19 pandemic. Therefore, this study presents a system for indoor air quality monitoring and counting in an enclosed space. Furthermore, the system has been evaluated in a case study with different scenarios and it is analysed how the ventilation affects the air quality levels in the enclosed space. For example, the raw carbon dioxide value obtained from the MQ135 sensor is 63 without any person in the room compared to the raw value of 148 when there are 4 people. All this is done using the Internet of Things paradigm and the implementation of intelligent ambients.Ítem Past, Present and Future of Research on Wearable Technologies for Healthcare: A Bibliometric Analysis Using Scopus(MDPI, 2022-11-08) de la Fuente, Yolanda María; Ricoy, Adrián Jesús; Albín-Rodríguez, Antonio Pedro; López-Ruiz, José Luis; Espinilla-Estévez, MacarenaCurrently, wearable technology is present in different fields that aim to satisfy our needs 13 in daily life, including the improvement of our health in general, the monitoring of patient health, 14 ensuring the safety of people in the workplace or supporting athlete training. The objective of this 15 bibliometric analysis is to examine and map the scientific advances in wearable technologies in 16 healthcare, as well as to identify future challenges within this field and put forward some proposals 17 to address them. In order to achieve this objective, a search of the most recent related literature was 18 carried out in the Scopus database. Our results show that the research can be divided into two peri- 19 ods: before 2013, it focused on design and development of sensors and wearable systems from an 20 engineering perspective and, since 2013, it has focused on the application of this technology to mon- 21 itoring health and well-being in general, and in alignment with the Sustainable Development Goals 22 wherever feasible. Our results reveal that the United States has been the country with the highest 23 publication rates, with 208 articles (34.7%). The University of California, Los Angeles, is the institu- 24 tion with the most studies on this topic, 19 (3.1%). Sensors journal (Switzerland) is the platform with 25 the most studies on the subject, 51 (8.5%), and has one of the highest citation rates, 1461. We put 26 forward an analysis of keywords and, more specifically, a pennant chart and a timeline plot to illus- 27 trate the trends in this field of research, prioritizing the area of data collection through wearable 28 sensors, smart clothing and other forms of discrete collection of physiological data.Ítem Plataformas de Salud Inteligentes: Monitorización de Pacientes con Diabetes Tipo 2 y Sostenibilidad(2025-02-12) Díaz-Jiménez, David; Espinilla-Estévez, Macarena; López-Ruiz, José Luis; Universidad de Jaén. Departamento de InformáticaEsta tesis doctoral se ha centrado en el desarrollo de metodologías y plataformas orientadas a la monitorización de la adherencia a comportamientos saludables en el entorno doméstico, con especial atención a pacientes con diabetes tipo 2. Se han planteado tres propuestas de investigación que abordan la falta de estandarización en el diseño y la personalización de plataformas de salud, la integración de tecnologías avanzadas para la monitorización en entornos de multiocupación, y la evaluación de la sostenibilidad de estas plataformas en relación con los Objetivos de Desarrollo Sostenible (ODS). This doctoral thesis has focused on the development of methodologies and platforms aimed at monitoring adherence to healthy behaviors in the home environment, with special attention to patients with type 2 diabetes. Three research proposals have been presented that address the lack of standardization in the design and personalization of health platforms, the integration of advanced technologies for monitoring in multi-occupancy environments, and the evaluation of the sustainability of these platforms in relation to the Sustainable Development Goals (SDGs).