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Detection of Atrial Fibrillation Using 1D Convolutional Neural Network
The automatic detection of atrial fibrillation (AF) is crucial for its association with the risk of embolic stroke. Most of the existing AF detection methods usually convert 1D time-series electrocardiogram (ECG) signal into 2D spectrogram to train a complex AF detection system, which results in hea...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7180882/ https://ncbi.nlm.nih.gov/pubmed/32290113 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20072136 |
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