Portal único (SILSTM) para ovário-histerectomia vídeo-assistida em cadelas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

As contribuições do uso de infográficos, Storytelling e Mapas Mentais em vídeo na Educação a Distância: exemplo de aplicação na plataforma Já Entendi ENEM

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Lesão condral do joelho: comparação entre ressonância magnética e vídeo-artroscopia. Efeito da aplicação do plasma rico em plaquetas

Pós-graduação em Bases Gerais da Cirurgia - FMB

Vídeo-ativismo em rede: um estudo sobre os protestos brasileiros de 2013 registrados no documentário 20 centavos

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Behavioral and EEG effects of GABAergic manipulation of the nigro-tectal pathway in the Wistar audiogenic rat (WAR) strain II: An EEG wavelet analysis and retrograde neuronal tracer approach

The role of the substantia nigra pars reticulata (SNPr) and superior colliculus (SC) network in rat strains susceptible to audiogenic seizures still remain underexplored in epileptology. In a previous study from our laboratory, the GABAergic drugs bicuculline (BIC) and muscimol (MUS) were microinjected into the deep layers of either the anterior SC (aSC) or the posterior SC (pSC) in animals of the Wistar audiogenic rat (WAR) strain submitted to acoustic stimulation, in which simultaneous electroencephalographic (EEG) recording of the aSC, pSC, SNPr and striatum was performed. Only MUS microinjected into the pSC blocked audiogenic seizures. In the present study, we expanded upon these previous results using the retrograde tracer Fluorogold (FG) microinjected into the aSC and pSC in conjunction with quantitative EEG analysis (wavelet transform), in the search for mechanisms associated with the susceptibility of this inbred strain to acoustic stimulation. Our hypothesis was that the WAR strain would have different connectivity between specific subareas of the superior colliculus and the SNPr when compared with resistant Wistar animals and that these connections would lead to altered behavior of this network during audiogenic seizures. Wavelet analysis showed that the only treatment with an anticonvulsant effect was MUS microinjected into the pSC region, and this treatment induced a sustained oscillation in the theta band only in the SNPr and in the pSC. These data suggest that in WAR animals, there are at least two subcortical loops and that the one involved in audiogenic seizure susceptibility appears to be the pSC-SNPr circuit. We also found that WARs presented an increase in the number of FG + projections from the posterior SNPr to both the aSC and pSC (primarily to the pSC), with both acting as proconvulsant nuclei when compared with Wistar rats. We concluded that these two different subcortical loops within the basal ganglia are probably a consequence of the WAR genetic background. (C) 2012 Elsevier Inc. All rights reserved.

EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease

Recent experimental evidence has suggested a neuromodulatory deficit in Alzheimer's disease (AD). In this paper, we present a new electroencephalogram (EEG) based metric to quantitatively characterize neuromodulatory activity. More specifically, the short-term EEG amplitude modulation rate-of-change (i.e., modulation frequency) is computed for five EEG subband signals. To test the performance of the proposed metric, a classification task was performed on a database of 32 participants partitioned into three groups of approximately equal size: healthy controls, patients diagnosed with mild AD, and those with moderate-to-severe AD. To gauge the benefits of the proposed metric, performance results were compared with those obtained using EEG spectral peak parameters which were recently shown to outperform other conventional EEG measures. Using a simple feature selection algorithm based on area-under-the-curve maximization and a support vector machine classifier, the proposed parameters resulted in accuracy gains, relative to spectral peak parameters, of 21.3% when discriminating between the three groups and by 50% when mild and moderate-to-severe groups were merged into one. The preliminary findings reported herein provide promising insights that automated tools may be developed to assist physicians in very early diagnosis of AD as well as provide researchers with a tool to automatically characterize cross-frequency interactions and their changes with disease.

A graph-theoretical approach in brain functional networks. Possible implications in EEG studies

Abstract Background Recently, it was realized that the functional connectivity networks estimated from actual brain-imaging technologies (MEG, fMRI and EEG) can be analyzed by means of the graph theory, that is a mathematical representation of a network, which is essentially reduced to nodes and connections between them. Methods We used high-resolution EEG technology to enhance the poor spatial information of the EEG activity on the scalp and it gives a measure of the electrical activity on the cortical surface. Afterwards, we used the Directed Transfer Function (DTF) that is a multivariate spectral measure for the estimation of the directional influences between any given pair of channels in a multivariate dataset. Finally, a graph theoretical approach was used to model the brain networks as graphs. These methods were used to analyze the structure of cortical connectivity during the attempt to move a paralyzed limb in a group (N=5) of spinal cord injured patients and during the movement execution in a group (N=5) of healthy subjects. Results Analysis performed on the cortical networks estimated from the group of normal and SCI patients revealed that both groups present few nodes with a high out-degree value (i.e. outgoing links). This property is valid in the networks estimated for all the frequency bands investigated. In particular, cingulate motor areas (CMAs) ROIs act as ‘‘hubs’’ for the outflow of information in both groups, SCI and healthy. Results also suggest that spinal cord injuries affect the functional architecture of the cortical network sub-serving the volition of motor acts mainly in its local feature property. In particular, a higher local efficiency El can be observed in the SCI patients for three frequency bands, theta (3-6 Hz), alpha (7-12 Hz) and beta (13-29 Hz). By taking into account all the possible pathways between different ROI couples, we were able to separate clearly the network properties of the SCI group from the CTRL group. In particular, we report a sort of compensatory mechanism in the SCI patients for the Theta (3-6 Hz) frequency band, indicating a higher level of “activation” Ω within the cortical network during the motor task. The activation index is directly related to diffusion, a type of dynamics that underlies several biological systems including possible spreading of neuronal activation across several cortical regions. Conclusions The present study aims at demonstrating the possible applications of graph theoretical approaches in the analyses of brain functional connectivity from EEG signals. In particular, the methodological aspects of the i) cortical activity from scalp EEG signals, ii) functional connectivity estimations iii) graph theoretical indexes are emphasized in the present paper to show their impact in a real application.

Brain activity and medical diagnosis: an EEG study

Abstract Background Despite new brain imaging techniques that have improved the study of the underlying processes of human decision-making, to the best of our knowledge, there have been very few studies that have attempted to investigate brain activity during medical diagnostic processing. We investigated brain electroencephalography (EEG) activity associated with diagnostic decision-making in the realm of veterinary medicine using X-rays as a fundamental auxiliary test. EEG signals were analysed using Principal Components (PCA) and Logistic Regression Analysis Results The principal component analysis revealed three patterns that accounted for 85% of the total variance in the EEG activity recorded while veterinary doctors read a clinical history, examined an X-ray image pertinent to a medical case, and selected among alternative diagnostic hypotheses. Two of these patterns are proposed to be associated with visual processing and the executive control of the task. The other two patterns are proposed to be related to the reasoning process that occurs during diagnostic decision-making. Conclusions PCA analysis was successful in disclosing the different patterns of brain activity associated with hypothesis triggering and handling (pattern P1); identification uncertainty and prevalence assessment (pattern P3), and hypothesis plausibility calculation (pattern P2); Logistic regression analysis was successful in disclosing the brain activity associated with clinical reasoning success, and together with regression analysis showed that clinical practice reorganizes the neural circuits supporting clinical reasoning.

Acceda y BuStreaming: integración de audio y vídeo en el proceso de autoarchivo del Repositorio de la ULPGC en acceso abierto

Comunicación presentada en 4 Jornadas "Os Repositorios" celebradas en la Universidad de Barcelona entre los días 3 al 5 de marzo del 2010. Estas Jornadas están organizadas conjuntamente por el CBUC, UB, UAB, UPC y UOC y el eje central de esta edición son las políticas de promoción del acceso abierto.Se recoge en la comunicación las últimas actuaciones que la Biblioteca Universitaria ha llevado a cabo para sumarse al movimiento Open Access y se presentan: Acceda, Documentación científica de la ULPGC en abierto y BUStreaming canal universitario de audio y video digital.

Sistema biométrico de detección facial sobre vídeo basado en patrones binarios locales aplicados sobre el color

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)

Técnicas de súper-resolución para la mejora de secuencias de vídeo comprimido

[ES] El mercado de consumo actual ha incrementado de forma espectacular la demanda de sistemas que mejore la calidad de la imagen para aplicaciones que van desde el vídeo doméstico a las militares, pasando por la teledetección, la seguridad, la astronomía o las aplicaciones médicas. Para una determinada secuencia de imágenes, el proceso de súper-resolución permite mejorar la resolución de dicha secuencia, incrementando de forma notable su calidad visual. Este trabajo muestra una novedosa técnica basada en la aplicación de una etapa de pre-procesado que permite aplicar el algoritmo de súper-resolución para incrementar la calidad de la imagen sólo en aquellas regiones donde la calidad puede efectivamente ser mejorada, disminuyendo de esta forma el coste computacional total. Al mismo tiempo, también se presenta una aplicación que persigue disminuir el tamaño del vídeo comprimido mientras que mantiene su calidad visual

Compresión de vídeo mediante técnicas de post-procesamiento

[ES] Uno de los requisitos fundamentales en el almacenamiento y transmisión de información multimedia es el disponer de técnicas eficaces de compresión y descompresión de datos en el emisor y receptor del canal de comunicación. Para el caso particular de dispositivos móviles de última generación, los cuales transmiten a través de canales inalámbricos caracterizados por bajos anchos de banda y alta probabilidad de introducción de errores, resulta aún más evidente la necesidad de disponer de altas tasas de compresión así como de técnicas que proporcionen mayor inmunidad de la información ante el ruido. En este artículo se proponen algoritmos de post-procesamiento de bajo coste computacional que permiten, de manera eficaz, compaginar altas tasas de compresión de vídeo con la obtención de imágenes de gran calidad en el receptor. Estas técnicas están basadas en el análisis previo de las secuencias de vídeo a comprimir, mejorando, independientemente de las características de las mismas, los resultados obtenidos en trabajos realizados previamente.

Gestión de vídeo distribuido

[ES] El principal objetivo de este Trabajo Final de Grado (TFG) fue la creación de un sistema de gestión de vídeo distribuido utilizando cámaras de videovigilancia IP. Esta propuesta surgió a partir de la idea de ofrecer un acceso simultáneo, tanto online como offline, a las secuencias de vídeo generadas por una red de cámaras IP en un entorno dado. El resultado obtenido fue una infraestructura software ampliable  que ofrece al usuario una serie de funcionalidades con cámaras de red, abstrayéndolo de detalles internos. El trabajo está compuesto por tres elementos claramente diferenciados: integración de cámaras IP, almacenamiento en vídeo y creación del sistema de vídeo distribuido. La integración de cámaras IP tiene como objetivo comunicar al equipo con la cámara de red para la obtención del flujo de imágenes que transmite. Dicha comunicación se establece vía HTTP (Hypertext Transfer Protocol) gracias a la interfaz de programación (API) de la que disponen estos dispositivos. El segundo elemento, el almacenamiento en vídeo, tiene como función guardar las imágenes de la cámara IP en archivos de vídeo. De esta manera se ofrece su posterior visualización en diferido. Finalmente, el sistema de vídeo distribuido permite la reproducción simultánea de múltiples vídeos grabados por la red de cámaras IP. Adicionalmente, vídeos grabados por otros dispositivos también son admitidos. El material desarrollado dispone del potencial necesario para convertirse en una herramienta libre de amplio uso en sistemas UNIX para cámaras IP, así como suponer la base de futuros proyectos relacionados con estos dispositivos.