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[ES] El presente Trabajo de Fin de Máster (TFM) consiste en el diseño, dimensionamiento y planteamiento de una instalación fotovoltaica de inyección a red sobre suelo, elaboración del presupuesto y análisis de la viabilidad económica de mismo, situado en un municipio de la provincia de Alicante (Relleu). El proyecto se desarrollará en una parcela en la que tendrá un mínimo impacto ambiental, y supondrá un gran avance en la producción de energía limpia y obtenida de manera sostenible para el municipio, que servirá como referencia para proyectos similares. Para la realización de dicho proyecto, se elaborará un estudio de diferentes alternativas de componentes y diferentes formas de transformar la energía: una primera que consiste en el empleo de inversores centralizados y una segunda forma en emplear inversores de string. Se analizarán las diferentes ventajas que nos ofrece una configuración u otra, y de forma razonada se seleccionará la mejor opción de las dos. Una vez seleccionada la forma en la que se transformará la energía producida por la instalación, se procederá al cálculo en detalle de la parte eléctrica, que abarcará desde los módulos hasta su conexión con el centro de seccionamiento del proyecto, desde el cual se conectará con la subestación eléctrica para la elevar la tensión e inyectarla a la red eléctrica por la que servirá de suministro a los municipios de alrededor. Por último, se elaborará un presupuesto del proyecto con el que se analizará la viabilidad económica de este., [EN] The present Master's Thesis consists of the design, sizing, and planning of a grid-connected photovoltaic installation on the ground, budget preparation, and economic viability analysis, located in a municipality in the province of Alicante (Relleu). The project will be developed on a plot with minimal environmental impact and will represent a significant advancement in the production of clean and sustainably obtained energy for the municipality, serving as a reference for similar projects. For the realization of this project, a study of different component alternatives and different ways of transforming energy will be carried out: one involving the use of centralized inverters and another involving the use of string inverters. The different advantages offered by each configuration will be analyzed, and the best option between the two will be selected based on reasoned arguments. Once the method for transforming the energy produced by the installation is chosen, a detailed calculation of the electrical part will be carried out, covering from the modules to their connection with the project's switching center, from which it will connect to the substation to raise the voltage and inject it into the electrical grid to supply surrounding municipalities. Finally, a project budget will be prepared to analyze its economic viability.

En este vídeo se presentan las tecnologías cableada y programada para la implementación de automatismos en la industria. La tecnología programada basada en PLC es la solución más ampliamente utilizada, fundamentalmente, por su versatilidad.

[EN] Background for the research: Premature birth and its associated complications are one of the biggest global health problems, since there is currently no effective screening method in clinical practice to accurately identify the true Preterm Birth (PTB) from the false threatened ones. Despite the high prevalence of PTB in multiple gestation (MG) women which amounted up to 60%, in the literature there is any work about their uterine myoelectric activities in vivo system. Electrohysterography (EHG) has been emerged as an alternative technique for predicting PTB in single gestation (SG) women. Purpose: The aim of this study was to characterize and compare the uterine myoelectrical activity in vivo system of SG and MG women in regular check-ups, to provide the basis for early detection and prevention of preterm labour in MG. Basic procedures: A prospective observational cohort study was conducted on 31 SG and 18 MG women between the 28(th) and 32(th) WoG who underwent regular check-ups in the Polytechnic and University Hospital La Fe (Valencia, Spain). The 30-minute bipolar recording was filtered in the 0.1-4 Hz bandwidth and downsampled to 20 Hz. Signal analysis was performed in 120-second moving windows with 50% overlap, after removing artefacts by a double- blind expert process. A set of 8 temporal, spectral and non-linear parameters were calculated: root mean square (RMS), kurtosis of the Hilbert envelope (KHE), median frequency (MDF), H/L ratio, and sample entropy (SampEn) and bubble entropy (BubbEn) calculated in the whole bandwidth (WBW) and the fast wave high (FWH). The 10th, 50th and 90th percentiles of all windows analysed were calculated to obtain representative values of the recordings. For each parameter and percentile, statistically significant differences between the SG and MG groups and their statistical power (SP) were analysed to determine both the existence of an effect and substantive significance, respectively. Main findings: In comparison to SG

[EN] The design and control of artificial hands remains a challenge in engineering. Popular prostheses are bio-mechanically simple with restricted manipulation capabilities, as advanced devices are pricy or abandoned due to their difficult communication with the hand. For social robots, the interpretation of human intention is key for their integration in daily life. This can be achieved with machine learning (ML) algorithms, which are barely used for grasping posture recognition. This work proposes an ML approach to recognize nine hand postures, representing 90% of the activities of daily living in real time using an sEMG human-robot interface (HRI). Data from 20 subjects wearing a Myo armband (8 sEMG signals) were gathered from the NinaPro DS5 and from experimental tests with the YCB Object Set, and they were used jointly in the development of a simple multi-layer perceptron in MATLAB, with a global percentage success of 73% using only two features. GPU-based implementations were run to select the best architecture, with generalization capabilities, robustness-versus-electrode shift, low memory expense, and real-time performance. This architecture enables the implementation of grasping posture recognition in low-cost devices, aimed at the development of affordable functional prostheses and HRI for social robots.

[ES] A lo largo del siguiente proyecto se describe el diseño, la construcción y la puesta en marcha de un banco de ensayos electromecánicos para vehículos eléctricos de movilidad personal de potencia máxima 700W. El objetivo del banco es medir el par entregado por la rueda al banco, la velocidad de la rueda y el rendimiento del patinete desde la batería. Se detalla el diseño mediante SolidWorks de cada una de las piezas que constituyen este montaje y por qué se han elegido las que componen el montaje final. Posteriormente se explica paso a paso el montaje de este y la justificación de los materiales que se han usado. Cabe destacar que algunas piezas han sido diseñadas e impresas en 3D en el material PLA, se detalla el procedimiento que se ha seguido para conseguir un diseño que resulte óptimo tanto para ser impreso como para poner el montaje en marcha de forma efectiva y segura. Se realizan diferentes ensayos para la caracterización de las pérdidas del banco de ensayos mediante un motor de inducción, un generador de continua y el mismo montaje además de los equipos de medida necesarios como tacómetro, voltímetros, amperímetros, analizador de redes y osciloscopio. Finalmente se ensayará un patinete eléctrico de 250W de potencia y obtendremos parámetros como par y rendimiento para diferentes modos de funcionamiento., [EN] The following project describes the design, construction and commissioning of an electromechanical test bench for personal mobility electric vehicles with a maximum power of 700W. The aim of the bench is to measure the torque delivered by the wheel to the bench, the wheel speed and the performance of the scooter from the battery. The design using SolidWorks of each of the parts that make up this assembly and why the parts that make up the final assembly have been chosen are detailed. Subsequently, a step-by-step explanation of the assembly and the justification of the materials that have been used is given. It should be noted that some parts have been designed and 3D printed in PLA material, and the procedure followed to achieve a design that is optimal both for printing and for setting up the assembly effectively and safely is detailed. Different tests are carried out to characterize the losses of the test bench using an induction motor, a DC generator and the assembly itself, as well as the necessary measuring equipment such as a tachometer, voltmeters, ammeters, a network analyzer and an oscilloscope. Finally, a 250W electric scooter will be tested and we will obtain parameters such as torque and performance for different operating modes.

En el presente Proyecto de Grado pretendo aplicar los conocimientos adquiridos a lo largo de la carrera de Ingeniería Informática complementado por un recorrido en el ámbito del desarrollo de software y un creciente interés en lo que representa la domótica: acercar la tecnología a las personas y mejorar su calidad de vida. El objetivo principal es desarrollar un prototipo de un invernadero inteligente basado en la domótica, aplicando conocimientos de hardware, software (libre y actual) y electrónica. Dicho prototipo podrá ser gestionado íntegramente utilizando una aplicación móvil. Por otra parte y en un sentido mas general, el siguiente trabajo tiene la intención de demostrar cómo un conjunto de tecnologías, conocimientos y dispositivos de fácil acceso se pueden utilizar para generar soluciones que faciliten la vida de las personas., Fil: Guaimás, Eduardo Mauricio. Universidad Católica de Salta. Facultad de Ingeniería; Argentina., Fil: Fassini, Ignacio Humberto. Universidad Católica de Salta. Facultad de Ingeniería; Argentina.

229 p., La tesis se desarrolla en el ámbito de la parada cardiorrespiratoria extra-hospitalaria (PCEH). Más concretamente, en el desarrollo de algoritmos y metodologías para la caracterización de la resucitación cardiopulmonar (RCP) en general, y de la ventilación en particular, a partir de las señales biomédicas adquiridas por equipos monitores-desfibriladores. La tesis se divide en tres bloques/objetivos principales:1) Desarrollo de soluciones basadas en procesado de señal e inteligencia artificial para la detección y caracterización de la ventilación usando la señal de impedancia torácica. Esta señal presenta una muy elevada disponibilidad durante la PCEH, y permite además realizar estimaciones potencialmente relevantes del volumen de aire insuflado. Sin embargo, es afectada también por diversas fuentes de ruido, incluidas las propias compresiones durante la RCP, que pueden enmascarar las ventilaciones.2) Desarrollo y validación de metodologías unificadas (combinando diferentes algoritmos y fuentes de datos) para el análisis automático de la RCP en registros de PCEH multi-dispositvo, en los que los equipos de diferentes fabricantes pueden implicar diferentes señales disponibles.3) Aplicación de las soluciones y metodologías anteriores al estudio comparativo de la RCP para diferentes estrategias de manejo avanzado de la vía aérea (intubación vs tubo laríngeo).

[EN] Atrial fibrillation (AF) is a prevalent cardiac arrhythmia often treated concomitantly with other cardiac interventions through the Cox-Maze procedure. This highly invasive intervention is still linked to a long-term recurrence rate of approximately 35% in permanent AF patients. The aim of this study is to preoperatively predict long-term AF recurrence post-surgery through the analysis of atrial activity (AA) organization from non-invasive electrocardiographic (ECG) recordings. A dataset comprising ECGs from 53 patients with permanent AF who had undergone Cox-Maze concomitant surgery was analyzed. The AA was extracted from the lead V1 of these recordings and then characterized using novel predictors, such as the mean and standard deviation of the relative wavelet energy (RWEm and RWEs) across different scales, and an entropy-based metric that computes the stationary wavelet entropy variability (SWEnV). The individual predictors exhibited limited predictive capabilities to anticipate the outcome of the procedure, with the SWEnV yielding a classification accuracy (Acc) of 68.07%. However, the assessment of the RWEs for the seventh scale (RWEs7), which encompassed frequencies associated with the AA, stood out as the most promising individual predictor, with sensitivity (Se) and specificity (Sp) values of 80.83% and 67.09%, respectively, and an Acc of almost 75%. Diverse multivariate decision tree-based models were constructed for prediction, giving priority to simplicity in the interpretation of the forecasting methodology. In fact, the combination of the SWEnV and RWEs7 consistently outperformed the individual predictors and excelled in predicting post-surgery outcomes one year after the Cox-Maze procedure, with Se, Sp, and Acc values of approximately 80%, thus surpassing the results of previous studies based on anatomical predictors associated with atrial function or clinical data. These findings emphasize the crucial role of preoperative patient-specific ECG si

[EN] This dataset contains simulation data to represent the 12 ECG leads for every scenario simulated in the study by Ruiz et al. (2024) entitled: In Silico Systematic Evaluation of the Scar Effect in Conventional and New Cardiac Resynchronization Therapy Approaches (SImulation data)