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Huerta, A.; Martinez-Rodrigo, A.; Puchol, A.; Pachon, MI.; Rieta, JJ.; Alcaraz, R. (2020). Comparative Study of Convolutional Neural Networks for ECG Quality Assessment. IEEE. 1-4. https://doi.org/10.22489/CinC.2020.370
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/178588
Título: | Comparative Study of Convolutional Neural Networks for ECG Quality Assessment | |
Autor: | Huerta, Alvaro Martinez-Rodrigo, Arturo Puchol, Alberto Pachon, Marta, I Alcaraz, Raul | |
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[EN] In the last years, convolutional neural networks (CNNs) have become popular in ECG analysis, since they do not require pre-processing stages, nor specific pre-training. However, their ability for ECG quality assessment ...[+]
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Derechos de uso: | Reconocimiento (by) | |
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Versión del editor: | https://doi.org/10.22489/CinC.2020.370 | |
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