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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| Hovedforfatter: | |
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| Format: | bachelorThesis |
| Sprog: | eng |
| Udgivet: |
2021
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| Fag: | |
| Online adgang: | http://repositorio.yachaytech.edu.ec/handle/123456789/451 |
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