Deep Learning for Automatic Detection of Periodic Limb Movement Disorder Based on Electrocardiogram Signals

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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Bibliographic Details
Main Authors: Erdenebayar Urtnasan, Jong-Uk Park, Jung-Hun Lee, Sang-Baek Koh, Kyoung-Joung Lee
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Diagnostics
Subjects:
deep learning
electrocardiogram
periodic limb movement syndrome
convolutional neural network
long short-term memory
Online Access:https://www.mdpi.com/2075-4418/12/9/2149

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