BOOM-2050

Dinámica grupal para observar la capacidad de trabajo en equipo, el liderazgo y la planificació

Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors

Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of death in the world. Heart murmurs are the most common abnormal finding when a patient visits the physician for auscultation. These heart sounds can either be innocent, which are harmless, or abnormal, which may be a sign of a more serious heart condition. However, the accuracy rate of primary care physicians and expert cardiologists when auscultating is not good enough to avoid most of both type-I (healthy patients are sent for echocardiogram) and type-II (pathological patients are sent home without medication or treatment) errors made. In this paper, the authors present a novel convolutional neural network based tool for classifying between healthy people and pathological patients using a neuromorphic auditory sensor for FPGA that is able to decompose the audio into frequency bands in real time. For this purpose, different networks have been trained with the heart murmur information contained in heart sound recordings obtained from nine different heart sound databases sourced from multiple research groups. These samples are segmented and preprocessed using the neuromorphic auditory sensor to decompose their audio information into frequency bands and, after that, sonogram images with the same size are generated. These images have been used to train and test different convolutional neural network architectures. The best results have been obtained with a modified version of the AlexNet model, achieving 97% accuracy (specificity: 95.12%, sensitivity: 93.20%, PhysioNet/CinC Challenge 2016 score: 0.9416). This tool could aid cardiologists and primary care physicians in the auscultation process, improving the decision making task and reducing type-I and type-II errors.Ministerio de Economía y Competitividad TEC2016-77785-

NAVIS: Neuromorphic Auditory VISualizer Tool

This software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors (NAS) information. The used NAS implements in FPGA a cascade filters architecture, imitating the behavior of the basilar membrane and inner hair cells and working with the sound information decomposed into its frequency components as spike streams. The well-known neuromorphic hardware interface Address-Event-Representation (AER) is used to propagate auditory information out of the NAS, emulating the auditory vestibular nerve. Using the information packetized into aedat files, which are generated through the jAER software plus an AER to USB computer interface, NAVIS implements a set of graphs that allows to represent the auditory information as cochleograms, histograms, sonograms, etc. It can also split the auditory information into different sets depending on the activity level of the spike streams. The main contribution of this software tool is that it allows complex audio post-processing treatments and representations, which is a novelty for spike-based systems in the neuromorphic community and it will help neuromorphic engineers to build sets for training spiking neural networks (SNN).Ministerio de Economía y Competitividad TEC2012-37868-C04-0

Handling requirements with XML like system specifications

[EN]This paper shows how XML metalanguage capabilities and related tools could be used first to model data structures and operations of domain specific languages, and second to facilitate the transformation process from system specifications to software systems. This approach allows to identify the subsystems of a software system using different domain specific languages. Such languages and the language transformer rules are the result of a domain analysis process adequately customized for this propos

The impact of roads on the movement of arboreal fauna in protected areas: the case of lar and pileated gibbons in Khao Yai National Park, Thailand

The unavoidable impact of roads on arboreal fauna in protected areas has received little attention. We investigated this impact on two gibbon species in Khao Yai National Park, Thailand: two groups had home ranges traversed by roads (roadside groups) and another two lived nearby roads (interior groups). Roads partially delineated the edges of home ranges of roadside groups, and gibbons crossed them only at a few locations. Gibbons’ space use decreased near roads for roadside groups and showed road reluctance as their crossing rates were smaller than those produced by a null movement model. Generalised linear models (GLMs) indicated that a long canopy gap reduced gibbons’ crossing probability, whereas forest cover had a positive effect. A large part of the road network had a low probability of being crossed by gibbons according to GLMs, especially at areas around park headquarters. Roads were still relatively permeable to gibbon movement with a mean 35% crossing probability. The relatively short and narrow road network in the park constitutes a positive assessment of the standards of how roads should be built in protected areas. Nonetheless, this assessment might be the consequence of the park being set in a mountainous region with difficulties of road development

Stereo Matching in Address-Event-Representation (AER) Bio-Inspired Binocular Systems in a Field-Programmable Gate Array (FPGA)

In stereo-vision processing, the image-matching step is essential for results, although it involves a very high computational cost. Moreover, the more information is processed, the more time is spent by the matching algorithm, and the more ine cient it is. Spike-based processing is a relatively new approach that implements processing methods by manipulating spikes one by one at the time they are transmitted, like a human brain. The mammal nervous system can solve much more complex problems, such as visual recognition by manipulating neuron spikes. The spike-based philosophy for visual information processing based on the neuro-inspired address-event-representation (AER) is currently achieving very high performance. The aim of this work was to study the viability of a matching mechanism in stereo-vision systems, using AER codification and its implementation in a field-programmable gate array (FPGA). Some studies have been done before in an AER system with monitored data using a computer; however, this kind of mechanism has not been implemented directly on hardware. To this end, an epipolar geometry basis applied to AER systems was studied and implemented, with other restrictions, in order to achieve good results in a real-time scenario. The results and conclusions are shown, and the viability of its implementation is proven.Ministerio de Economía y Competitividad TEC2016-77785-

Valoración de la evolución en conocimientos de reanimación cardiopulmonar entre los estudiantes de medicina de la Facultad de Medicina de la Universidad de Valladolid

La parada cardiorrespiratoria (PCR) es uno de los principales motivos de morbimortalidad en nuestra sociedad. Objetivos: Conocer la evolución del conocimiento, formación y actitud sobre reanimación cardiopulmonar (RCP) básica y avanzada entre los alumnos de la Facultad de Medicina de la Universidad de Valladolid. Material y métodos: Estudio descriptivo transversal basado en un cuestionario. Criterios inclusión: Alumnos de 1º de medicina matriculados en Anatomía Humana I, de 3º de medicina matriculados en PMQ-I y de 6º de medicina matriculados en Prácticas Tuteladas de Clínica Pediátrica, excluyendo a los que la cursan en Burgos, Soria y Palencia, que al inicio del curso 2016-2017 respondieron a un cuestionario autoadministrado en la Facultad de Medicina de Valladolid. Variables: edad, sexo y respuestas sobre conocimientos, actitud y habilidades relacionadas con la RCP. Comparación de variables cualitativas mediante Chi-cuadrado. Significación: p< 0.05. Análisis estadístico: SPSS 20.0.Grado en Medicin

Analysis of the power balance In the cells of a multilevel cascaded H-Bridge converter

Multilevel cascaded H-Bridge converters (CHB) have been presented as a good solution for high power applications. In this way, several control and modulation techniques have been proposed for this power converter topology. In this paper the steady state power balance in the cells of the single phase two cell CHB is studied. The capability to be supplied with active power from the grid or to deliver active power to the grid in each cell is analyzed according to the dc-link voltages and the desired ac output voltage value. Limits of the maximum and minimum input active power for stable operation of the CHB are addressed. Simulation results are shown to validate the presented analysis

El seguro de responsabilidad civil y sus formas de aseguramiento.

Haciendo una síntesis observamos que con base en el tiempo requerido por parte del afectado y el asegurado en el ámbito civil es difícil el evadir cualquier responsabilidad por parte de las aseguradoras el pago de las indemnizaciones pues cuentan con el tiempo suficiente para formular la respectiva reclamación basada en la demostración de la cuantía y la ocurrencia del siniestro según lo indica el artículo 1077 del Código de Comercio. Es fundamental contar con un seguro de responsabilidad civil pues debido a la complejidad de las reclamaciones tanto en costo como el tiempo de duración de cada proceso, puede ser extracontractual o contractual de acuerdo al tipo de contrato, así como el tipo de aseguramiento dependerá del gusto del consumidor al momento de contratarlo con la compañía aseguradora. Nota: Para consultar la carta de autorización de publicación de este documento por favor copie y pegue el siguiente enlace en su navegador de Internet: http://hdl.handle.net/10818/888