Revisión Sistemática de Literatura para la Detección de fibrilación auricular por medio de redes convolucionales 1D
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2022
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Ediciones Universidad Simón Bolívar
Facultad de Ingenierías
Facultad de Ingenierías
Resumen
El siguiente trabajo presenta un proceso investigativo sobre el diagnóstico de la FA o Fibrilación Auricular por medio de una red neuronal convolucional 1D. La FA es un cambio en el ritmo cardiaco, es decir, es una irregularidad en el tiempo de nuestros latidos que puede afectar nuestra calidad de vida al punto de matarnos y es considerado el tipo de arritmia más común del mundo. Una red neuronal convolucional son neuronas artificiales las cuales por medio de matrices bidimensionales son muy efectivas para tareas de clasificación y segmentación de información, este tipo de tarea es muy importante al momento de diagnosticar una enfermedad como la FA.
Este trabajo se encamina específicamente en la búsqueda de información sobre el diagnóstico de la FA por medio de la red neuronal mencionada, con el objetivo de poder brindar y recomendar soluciones viables evaluadas por medio de su precisión, eficacia, rapidez.
The following work presents an investigative process on the diagnosis of AF or Atrial Fibrillation through a 1D convolutional neural network. AF is a change in heart rhythm, that is, it is an irregularity in the timing of our heartbeats that can affect our quality of life to the point of killing us and is considered the most common type of arrhythmia in the world. A convolutional neural network are artificial neurons which through two-dimensional arrays are very effective for information classification and segmentation tasks, this type of task is very important when diagnosing a disease such as AF. This work is specifically aimed at the search for information on the diagnosis of AF through the neural network, with the aim of being able to provide and recommend viable solutions evaluated through their accuracy, effectiveness, and speed.
The following work presents an investigative process on the diagnosis of AF or Atrial Fibrillation through a 1D convolutional neural network. AF is a change in heart rhythm, that is, it is an irregularity in the timing of our heartbeats that can affect our quality of life to the point of killing us and is considered the most common type of arrhythmia in the world. A convolutional neural network are artificial neurons which through two-dimensional arrays are very effective for information classification and segmentation tasks, this type of task is very important when diagnosing a disease such as AF. This work is specifically aimed at the search for information on the diagnosis of AF through the neural network, with the aim of being able to provide and recommend viable solutions evaluated through their accuracy, effectiveness, and speed.
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Fibrilación auricular, Ondas, Redes neuronales, Convolucional, Inteligencia artificial, Gráficos, IoT, Atrial fibrillation, Waves, Neural networks, Convolutional, Artificial intelligence, Graphics
