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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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| Vydáno v: | Sensors (Basel) |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2020
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| Témata: | |
| On-line přístup: | 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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