6 resultados para health risks

em Universidad Politécnica de Madrid


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En un ejercicio no extenuante la frecuencia cardíaca (FC) guarda una relación lineal con el consumo máximo de oxígeno (V O2max) y se suele usar como uno de los parámetros de referencia para cuantificar la capacidad del sistema cardiovascular. Normalmente la frecuencia cardíaca puede remplazar el porcentaje de V O2max en las prescripciones básicas de ejercicio para la mejora de la resistencia aeróbica. Para obtener los mejores resultados en la mejora de la resistencia aeróbica, el entrenamiento de los individuos se debe hacer a una frecuencia cardíaca suficientemente alta, para que el trabajo sea de predominio dinámico con la fosforilación oxidativa como fuente energética primaria, pero no tan elevada que pueda suponer un riesgo de infarto de miocardio para el sujeto que se está entrenando. Los programas de entrenamiento de base mínima y de base óptima, con ejercicios de estiramientos para prevenir lesiones, son algunos de los programas más adecuados para el entrenamiento de la resistencia aeróbica porque maximizan los beneficios y minimizan los riesgos para el sistema cardiovascular durante las sesiones de entrenamiento. En esta tesis, se ha definido un modelo funcional para sistemas de inteligencia ambiental capaz de monitorizar, evaluar y entrenar las cualidades físicas que ha sido validado cuando la cualidad física es la resistencia aeróbica. El modelo se ha implementado en una aplicación Android utilizando la camiseta inteligente “GOW running” de la empresa Weartech. El sistema se ha comparado en el Laboratorio de Fisiología del Esfuerzo (LFE) de la Universidad Politécnica de Madrid (UPM) durante la realización de pruebas de esfuerzo. Además se ha evaluado un sistema de guiado con voz para los entrenamientos de base mínima y de base óptima. También el desarrollo del software ha sido validado. Con el uso de cuestionarios sobre las experiencias de los usuarios utilizando la aplicación se ha evaluado el atractivo de la misma. Por otro lado se ha definido una nueva metodología y nuevos tipos de cuestionarios diseñados para evaluar la utilidad que los usuarios asignan al uso de un sistema de guiado por voz. Los resultados obtenidos confirman la validez del modelo. Se ha obtenido una alta concordancia entre las medidas de FC hecha por la aplicación Android y el LFE. También ha resultado que los métodos de estimación del VO2max de los dos sistemas pueden ser intercambiables. Todos los usuarios que utilizaron el sistema de guiado por voz para entrenamientos de 10 base mínima y de base óptimas de la resistencia aeróbica consiguieron llevar a cabo las sesiones de entrenamientos con un 95% de éxito considerando unos márgenes de error de un 10% de la frecuencia cardíaca máxima teórica. La aplicación fue atractiva para los usuarios y hubo también una aceptación del sistema de guiado por voz. Se ha obtenido una evaluación psicológica positiva de la satisfacción de los usuarios que interactuaron con el sistema. En conclusión, se ha demostrado que es posible desarrollar sistemas de Inteligencia Ambiental en dispositivos móviles para la mejora de la salud. El modelo definido en la tesis es el primero modelo funcional teórico de referencia para el desarrollo de este tipo de aplicaciones. Posteriores estudios se realizarán con el objetivo de extender dicho modelo para las demás cualidades físicas que suponen modelos fisiológicos más complejos como por ejemplo la flexibilidad. Abstract In a non-strenuous exercise, the heart rate (HR) shows a linear relationship with the maximum volume of oxygen consumption (V O2max) and serves as an indicator of performance of the cardiovascular system. The heart rate replaces the %V O2max in exercise program prescription to improve aerobic endurance. In order to achieve an optimal effect during endurance training, the athlete needs to work out at a heart rate high enough to trigger the aerobic metabolism, while avoiding the high heart rates that bring along significant risks of myocardial infarction. The minimal and optimal base training programs, followed by stretching exercises to prevent injuries, are adequate programs to maximize benefits and minimize health risks for the cardiovascular system during single session training. In this thesis, we have defined an ambient intelligence system functional model that monitors, evaluates and trains physical qualities, and it has been validated for aerobic endurance. It is based on the Android System and the “GOW Running” smart shirt. The system has been evaluated during functional assessment stress testing of aerobic endurance in the Stress Physiology Laboratory (SPL) of the Technical University of Madrid (UPM). Furthermore, a voice system, designed to guide the user through minimal and optimal base training programs, has been evaluated. Also the software development has been evaluated. By means of user experience questionnaires, we have rated the attractiveness of the android application. Moreover, we have defined a methodology and a new kind of questionnaires in order to assess the user experience with the audio exercise guide system. The results obtained confirm the model. We have a high similarity between HR measurements made of our system and the one used by SPL. We have also a high correlation between the VO2max estimations of our system and the SPL system. All users, that tried the voice guidance system for minimal and optimal base training programs, were able to perform the 95% of the training session with an error lower than the 10% of theoretical maximum heart rate. The application appeared attractive to the users, and it has also been proven that the voice guidance system was useful. As result we obtained a positive evaluation of the users' satisfaction while they interacted with the system. In conclusion, it has been demonstrated that is possible to develop mobile Ambient Intelligence applications for the improvement of healthy lifestyle. AmIRTEM model is the first theoretical reference functional model for the design of this kind of applications. Further studies will be realized in order to extend the AmIRTEM model to other physical qualities whose physiological models are more complex than the aerobic endurance.

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Hasta ahora, la gran mayoría de los recursos explotados de gas natural procedían de acumulaciones convencionales de gas aislado y de gas asociado y disuelto en el petróleo. Sin embargo, el gas natural se encuentra también en yacimientos que, debido a su baja porosidad y permeabilidad, tienen unas características que hacen que hasta muy recientemente no hayan sido económicamente rentables y que sólo puedan ser explotados mediante técnicas no convencionales, dando lugar al denominado gas no convencional. Las técnicas utilizadas para su extracción son la fracturación hidráulica o “fracking” y la perforación horizontal. Entre los diversos tipos de gas no convencional, es de prever que el gas de pizarra sea el que sufra mayor desarrollo a medio plazo en nuestro país, por lo que se están generando grandes debates, debido al riesgo de contaminación de las aguas superficiales y subterráneas del entorno, provocados por la elevada cantidad de agua utilizada, los aditivos empleados, los fluidos de retorno, por la alteración del medio físico, así como por la dificultad de monitorización de estos procesos. En este proyecto se identifican los riesgos ambientales y sanitarios asociados a la extracción de gas no convencional. El trabajo se basa principalmente en experiencias ocurridas en países donde el fracking se ha convertido en una práctica habitual. Se trata además de establecer las bases necesarias para la estimación de la vulnerabilidad de los acuíferos frente a la contaminación inducida por la fracturación hidráulica. Abstract Until now, most of the natural gas resources exploited were from isolated conventional gas accumulations and associated and dissolved gas in oil. However, the natural gas is also in reservoirs that, due to their low porosity and permeability, have characteristics that make until recently not been economically profitable and can be exploited only by unconventional techniques, leading to the so called unconventional gas. The techniques used for extraction are hydraulic fracturing or "fracking" and horizontal drilling. Among the various types of unconventional gas, it is expected that shale gas is the suffering greater medium-term development in our country, so it is generating much debate, due to the risks of contamination in surface waters and subterranean environment, caused by the high amount of water used, the additives used, the return fluid, by altering the physical environment, and the difficulty of monitoring these processes. In this project identifies the environmental and health risks associated with unconventional gas extraction. The work is mainly based on experiences that occurred in countries where fracking has become a common practice. This is for establish the necessary basis for estimating the vulnerability of aquifers from contamination induced by hydraulic fracturing.

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The benefits of urban agriculture are many and well documented, ranging from health improvement to community betterment, more sustainable urban development and environment protection. On the negative side, urban soils are commonly enriched in toxic trace elements that have accumulated over time through the deposition of atmospheric particles (generated by automotive traffic, heating systems, historical industrial activities and resuspended street dust), and the uncontrolled disposal of domestic, commercial and industrial wastes. This in turn has given rise to concerns about the level of exposure of urban farmers to these elements and the potential health hazards associated with this exposure. Research efforts in this field have started relatively recently and have almost systematically omitted the influence of Sb and Se, and to a lesser extent of As, although all three have proven toxic effects.

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The art of construction is a risky activity that directly affects the life and physical integrity of persons. Since the approval of Law 31/1995, of November 8, Prevention of Occupational Risks was the first legislation that established the current basis in all sectors and then transposed into Spanish law Directive 92/57/CEE called Royal Decree 1627/1997 of October 24, on minimum safety and health dispositions in construction works, measures have been proposed to develop a mixed body of scientific literature composed of researchers and professionals in the field of occupational safety and health, but even today there is still no clear and firm proposal, showing a lack of awareness in the occupational risk prevention and, therefore, a consolidation of the culture of prevention in society. Therefore, the technicians, who make up the building process, can incur in very high responsibilities, such as: Author of the project, Coordinator of Safety and Health during the preparation of the project and during the execution of works, Site Management: Site Manager. This involves the immediate creation of a general training in prevention for all architects starting when still studying, as well as specific training, appropriate and complementary to all the architects that will be devoted to the specialty of occupational safety and health in construction works. That is, first, we must make the responsible bodies aware of the urgent need to integrate risk prevention in the curricula of architecture and later in the continuing education of the profession. It is necessary that our teaching must conform to the laws on safety and health, due to the fact that the law recognizes our academic degrees and professional qualifications to perform functions in that area

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The deployment of home-based smart health services requires effective and reliable systems for personal and environmental data management. ooperation between Home Area Networks (HAN) and Body Area Networks (BAN) can provide smart systems with ad hoc reasoning information to support health care. This paper details the implementation of an architecture that integrates BAN, HAN and intelligent agents to manage physiological and environmental data to proactively detect risk situations at the digital home. The system monitors dynamic situations and timely adjusts its behavior to detect user risks concerning to health. Thus, this work provides a reasoning framework to infer appropriate solutions in cases of health risk episodes. Proposed smart health monitoring approach integrates complex reasoning according to home environment, user profile and physiological parameters defined by a scalable ontology. As a result, health care demands can be detected to activate adequate internal mechanisms and report public health services for requested actions.

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Aim of study: to review the present state of the art in relation to the main labour risks and the most relevant results of recent studies evaluating the safety and health conditions of the forest harvesting work and better ways to reduce accidents. Area of study: It focuses mainly on developed Countries, where the general concern about work risks prevention, together with the complex idiosyncrasy of forest work in forest harvesting operations, has led to a growing interest from the forest scientific and technical community. Material and Methods: The main bibliographic and Internet references have been identified using common reference analysis tools. Their conclusions and recommendations have been comprehensively summarized. Main results: Collection of the principal references and their most important conclusions relating to the main accident risk factors, their causes and consequences, the means used towards their prevention, both instrumental as well as in the aspects of training and business management, besides the influence of the growing mechanization of logging operations on those risks. Research highlights: Accident risk is higher in forest harvesting than in most other work sectors, and the main risk factors such as experience, age, seasonality, training, protective equipment, mechanization degree, etc. have been identified and studied. The paper summarizes some relevant results, one of the principal being that the proper entrepreneurial risk management is a key factor leading to the success in minimizing labour risks..