Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks

Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks

Sleep staging is an important part of clinical neurology. However, it is still performed manually by technical experts and is labor-intensive and time-consuming. To overcome these obstacles in the manual sleep staging process, a large number of machine learning-based classifiers with hand-engineered...

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Bibliographic Details
Main Authors: Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Automatic sleep staging
deep learning
convolutional neural network
long short-term memory
instantaneous frequency features
pediatric electroencephalography
Online Access:https://ieeexplore.ieee.org/document/8759961/

Internet

https://ieeexplore.ieee.org/document/8759961/

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