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...

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Detalles Bibliográficos
Autores principales: Urtnasan, Erdenebayar, Park, Jong-Uk, Lee, Jung-Hun, Koh, Sang-Baek, Lee, Kyoung-Joung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497702/
https://www.ncbi.nlm.nih.gov/pubmed/36140550
http://dx.doi.org/10.3390/diagnostics12092149

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