DIGITALIZACIÓN Y EXTRACCIÓN DE LA SEÑAL DE ECG DE REGISTROS IMPRESOS
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2023-12-19
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[ES] El objetivo de este TFG es evaluar técnicas de procesamiento de imágenes y señales para adquirir
electrocardiogramas (ECG) digitales a partir de impresoras de ECG comerciales.
Al analizar el proceso de digitalización de un ECG impreso y su registro, ajuste de muestras de señales de
ECG impresas y coincidencia espectral de estas señales, se identifican las ventajas del ECG digital sobre
el ECG analógico, disponibilidad de herramientas automatizadas de diagnóstico de enfermedades del
corazón. En este contexto, se propone un método para digitalizar el ECG impreso. Se utilizan varios
mecanismos para leer imágenes, cambiar el tamaño y corregir la iluminación, detectar y reconocer
contornos, eliminar el fondo, agrupar elementos pequeños para eliminar el ruido y las señales, y separar las señales.
[EN] The objective of this dissertation is to evaluate image and signal processing techniques for acquiring digital electrocardiograms (ECGs) from commercial ECG printers. By analysing the process of digitising a printed ECG and its recording, sample fitting of printed ECG signals and spectral matching of these signals, the advantages of digital ECG over analogue ECG, availability of automated diagnostic tools for heart disease diagnosis, are identified. In this context, a method to digitise the printed ECG is proposed. Several mechanisms are used to read images, resize and correct illumination, detect and recognise contours, remove background, group small elements to remove noise and signals, and separate signals.
[EN] The objective of this dissertation is to evaluate image and signal processing techniques for acquiring digital electrocardiograms (ECGs) from commercial ECG printers. By analysing the process of digitising a printed ECG and its recording, sample fitting of printed ECG signals and spectral matching of these signals, the advantages of digital ECG over analogue ECG, availability of automated diagnostic tools for heart disease diagnosis, are identified. In this context, a method to digitise the printed ECG is proposed. Several mechanisms are used to read images, resize and correct illumination, detect and recognise contours, remove background, group small elements to remove noise and signals, and separate signals.
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