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Universidad de las Fuerzas Armadas ESPE. Carrera de Ingeniería en Electrónica, Automatización y Control.(6)
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Heart Rate Variability and T Wave Alternans as risk stratification indices for detecting Sudden Cardiac Death: A Review
ReviewAbstract: Sudden Cardiac Death (SCD) is considered one of the main causes of mortality worldwide. Often, the sPalabras claves:detection, eCG, HRV, SCD, TWAAutores:Carlos Almeida, Marco Javier Flores-Calero, Nancy BetancourtFuentes:scopusIVVI: Intelligent vehicle based on visual information
ArticleAbstract: Human errors are the cause of most traffic accidents, with drivers' inattention and wrong driving dePalabras claves:Computer Vision, Driver Assistance Systems, Intelligent transportation systems, Intelligent vehiclesAutores:Armingol J.M., Carrasco J.P., Collado J.M., De La Escalera A., Hilario C., Marco Javier Flores-Calero, Pastor J.M., Rodríguez F.J.Fuentes:googlescopusGeneration of regions of interest with high potential to contain pedestrians using non-dense 3D reconstruction from monocular vision
ArticleAbstract: Traffic accidents are a global public health problem, due to the high number of human victims and thPalabras claves:Accidents, Monocular vision, pedestrian, ROIs, Stereo vision, Traffic, TrajectoryAutores:Marco Javier Flores-Calero, Torres-Torriti M., Zubiaguirre-Bergen I.Fuentes:googlescopusEcuadorian regulatory traffic sign detection by using HOG features and ELM classifier
ArticleAbstract: This article presents an algorithm for Ecuadorian regulatory traffic signs detection, under extremePalabras claves:elm, hoc, regulatory traffic sign, traffic accidentsAutores:Jonathan Vargas, Marco Javier Flores-Calero, Maria Jose Ayala, Sanchez M.A.Fuentes:googlescopusEcuadorian traffic sign detection through color information and a convolutional neural network
Conference ObjectAbstract: This article develops an algorithm for the detection and recognition of regulatory and warning traffPalabras claves:COLOR, deep learning, ECUADOR, Regulatory sign, traffic accidents, Warning signAutores:Gallegos J., Gonzalo Patricio Espinel, José Luis Carrillo-Medina, Marco Javier Flores-Calero, Marco V. Gualsaquí, Maria Jose Ayala, Patricio VizcainoFuentes:googlescopusDetection of sudden cardiac death using the adaptive spectral method on the T wave: An experimental study on public databases
ArticleAbstract: T-wave alternans (TWA) analysis is one of the main techniques for determining whether an individualPalabras claves:eCG, SM-Adaptive, sudden cardiac death, T-wave al-ternansAutores:Marco Javier Flores-Calero, Pilla-Barroso M.Fuentes:googlescopusA Non-invasive Method for Premature Sudden Cardiac Death Detection: A Proposal Framework
Conference ObjectAbstract: Sudden Cardiac Death is considered one of the main cause of mortality worldwide. The incomprehensiblPalabras claves:eCG, HRV, pbkp_rediction, SCD, TWAAutores:Carlos Almeida, Marco Javier Flores-Calero, Nancy BetancourtFuentes:scopusClasificación de arritmias cardíacas en base a características lineales y no lineales del ECG con redes neuronales
Bachelor ThesisAbstract: Las enfermedades cardiovasculares se han vuelto una de las principales causas de muerte en el mundo,Palabras claves:Arritmias Cardiacas, Frecuencia Cardiaca, MACROECONOMÌA, Red neuronal artificial, SERVICIOS MÉDICOS Y DE SALUDAutores:Bruno Alonso Leppe Bravo, Marco Javier Flores-CaleroFuentes:rraaeComparative statistical analysis of the release kinetics models for nanoprecipitated drug delivery systems based on poly(lactic-co-glycolic acid)
ArticleAbstract: Poly(lactic-co-glycolic acid) is one of the most used polymers for drug delivery systems (DDSs). ItPalabras claves:Autores:Debut Alexis, Dr Brajesh Kumar, Fernanda Pilaquinga F., KARLA SOFÍA VIZUETE ARMENDÁRIZ, Marco Javier Flores-Calero, Nathaly S. Hebkp_redia, V. Katherine PazmiñoFuentes:googlescopusAutomatic Recognition System for Traffic Signs in Ecuador Based on Faster R-CNN with ZFNet
Conference ObjectAbstract: This research presents an application of the Deep Learning technology in the development of an automPalabras claves:Computer Vision, deep learning, ECUADOR, Faster R-CNN, traffic accidents, Traffic signs, ZF-NetAutores:Gallegos J., Marco Javier Flores-Calero, Milton Aldás, Wilson Román, Zabala-Blanco D.Fuentes:googlescopus