Extracción del grid en registros impresos de ECG.
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2024-10-16
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[es] En la actualidad se puede destacar que existen muchas personas que se han visto afectadas tanto en algún familiar como en ellos mismos por alguna patología o enfermedad en el sistema cardiaco en algún momento de su vida. Para ello se ha implementado el desarrollo de una aplicación donde se realiza la obtención del periodo de muestreo mediante la extracción del grid del electrocardiograma. Esta obtención del periodo de muestreo medida en segundos por píxel se utiliza para mejorar los distintos diagnósticos, ya que con esta medida el personal sanitario podrá hacer un análisis más profundizado sobre los diferentes datos. Por esto se han estudiado e implementado distintas técnicas tanto de preprocesado como de procesado de imagen para que esta extracción se realice de forma satisfactoria. Realizando una toolbox en Python, e implementando una aplicación para comprobar el desarrollo de cada una de las funciones y clases.
[en] Nowadays, there are many people who have been affected by a pathology or disease in the cardiac system at some point in their lives, both in a family member and in themselves. For this reason, the development of an application has been implemented to obtain the sampling period by extracting the grid from the electrocardiogram. This obtaining of the sampling period measured in seconds per-pixel is used to improve the different diagnoses, since with this measurement the health personnel will be able to make a more in-depth analysis of the different data. For this reason, different preprocessing and image processing techniques have been studied and implemented so that this extraction can be carried out satisfactorily. Making a toolbox in Python, and implementing an application to test the development of each of the functions and classes.
[en] Nowadays, there are many people who have been affected by a pathology or disease in the cardiac system at some point in their lives, both in a family member and in themselves. For this reason, the development of an application has been implemented to obtain the sampling period by extracting the grid from the electrocardiogram. This obtaining of the sampling period measured in seconds per-pixel is used to improve the different diagnoses, since with this measurement the health personnel will be able to make a more in-depth analysis of the different data. For this reason, different preprocessing and image processing techniques have been studied and implemented so that this extraction can be carried out satisfactorily. Making a toolbox in Python, and implementing an application to test the development of each of the functions and classes.
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Sistemas de Telecomunicación, Sonido e Imagen