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Abstract(s)
Alterações térmicas em regiões específicas do corpo humano têm sido utilizadas ao longo
dos anos como um indicador de diagnóstico de diversas patologias. Nesse sentido, tem sido
desenvolvido inúmeras técnicas que permitem detectar esse diferencial de temperatura. Após
esse efeito, é necessário procurar saber interpretar esses resultados, fazendo uma correlação
entre estes e o desempenho funcional das regiões de interesse (ROI). A Termografia por
Infravermelho é uma técnica que permite identificar essas variações térmicas de várias regiões,
construindo uma imagem térmica da distribuição da temperatura superficial de um objecto.
No presente trabalho, pretendeu-se demonstrar, através dessa técnica, o registo térmico das
ROI especificas de atletas de Futsal. Para isso, foi realizado um treino/jogo, fazendo o registo
termográfico em 3 momentos distintos. Antes do treino, após o treino e 20 horas após o treino.
Com isto, assegurou-se uma análise térmica do comportamento de regiões específicas e como
estas se comportam nesse aspecto após uma prática desportiva e também como estas recuperam
termicamente 20 horas após o exercício referido. Após a recolha das imagens térmicas, foi
necessário a construção de um algoritmo, através da ferramenta Matlab, de modo que este
limita-se as imagens térmicas ás ROI pretendidas e a partir daí, fosse possível extrair todas as
variáveis pretendidas, inclusive a construção de boxplots, para a posterior analise de resultados.
Com isto, pretendeu-se demonstrar as capacidades desta técnica, aliada á componente
desportiva, de modo a que esta consiga tirar vantagens, em termos práticos, da análise
termográfica dos atletas.
Thermal changes in specific regions of the human body have been used over the years as an indicator for the diagnosis of various pathologies. In this way, numerous techniques have been developed to detect this temperature differential. After this, it is necessary to know how to interpret these results, making a correlation between them and the functional performance of the regions of interest (ROI). Infrared Thermography is a technique that allows identifying these thermal variations of several regions, building a thermal image of the surface temperature distribution of an object. In this work, it was intended to demonstrate, through this technique, the thermal register of the specific ROI of Futsal athletes. For this, a training/play was carried out, making the thermographic recording in 3 different moments. Before the training, after the training and 20 hours after the training. This ensured a thermal analysis of the behavior of specific regions and how they behave in that regard after a sport and also how they recover thermally 20 hours after the exercise. After collecting the thermal images, it was necessary to build an algorithm, through the Matlab tool, so that it limits the thermal images to the desired ROI and from there, it was possible to extract all the desired variables, including the construction of BoxPlots, for the subsequent analysis of results. With this, it was intended to demonstrate the capabilities of this technique, combined with the sports component, so that it can take advantage, in practical terms, of the thermal analysis of athletes.
Thermal changes in specific regions of the human body have been used over the years as an indicator for the diagnosis of various pathologies. In this way, numerous techniques have been developed to detect this temperature differential. After this, it is necessary to know how to interpret these results, making a correlation between them and the functional performance of the regions of interest (ROI). Infrared Thermography is a technique that allows identifying these thermal variations of several regions, building a thermal image of the surface temperature distribution of an object. In this work, it was intended to demonstrate, through this technique, the thermal register of the specific ROI of Futsal athletes. For this, a training/play was carried out, making the thermographic recording in 3 different moments. Before the training, after the training and 20 hours after the training. This ensured a thermal analysis of the behavior of specific regions and how they behave in that regard after a sport and also how they recover thermally 20 hours after the exercise. After collecting the thermal images, it was necessary to build an algorithm, through the Matlab tool, so that it limits the thermal images to the desired ROI and from there, it was possible to extract all the desired variables, including the construction of BoxPlots, for the subsequent analysis of results. With this, it was intended to demonstrate the capabilities of this technique, combined with the sports component, so that it can take advantage, in practical terms, of the thermal analysis of athletes.
Description
Keywords
Analise Região de Interesse Temperatura Termografia Por Infravermelho