Rapid detection of cardiac pathologies by neural networks using ECG signals (1D) and sECG images (3D): exploratory study with 6-channel ECG

Rapid detection of cardiac pathologies by neural networks using ECG signals (1D) and sECG images (3D): exploratory study with 6-channel ECG

Normally, the detection of cardiac pathologies is performed using one-dimensional electrocardiogram signals or 2D (two-dimensional) images. When working with electrocardiogram signals, they can be represented in the time and frequency domain (1D signals). However, this technique can present difficul...

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Autor principal: Aguiar Salazar, Evelyn Dayana (author)
Formato: bachelorThesis
Lenguaje:eng
Publicado: 2021
Materias:
Imágenes sECG
Redes neuronales
Electrocardiógrafo 6-ch
MATLAB
Python
sECG images
Neural networks
6-channels electrocardiograph
Acceso en línea:http://repositorio.yachaytech.edu.ec/handle/123456789/451
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http://repositorio.yachaytech.edu.ec/handle/123456789/451

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