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Deep Learning for Automatic Detection of Periodic Limb Movement Disorder Based on Electrocardiogram Signals
In this study, a deep learning model (deepPLM) is shown to automatically detect periodic limb movement syndrome (PLMS) based on electrocardiogram (ECG) signals. The designed deepPLM model consists of four 1D convolutional layers, two long short-term memory units, and a fully connected layer. The Ost...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497702/ https://www.ncbi.nlm.nih.gov/pubmed/36140550 http://dx.doi.org/10.3390/diagnostics12092149 |