Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data

Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data

Abstract Recent developments of portable sensor devices, cloud computing, and machine learning algorithms have led to the emergence of big data analytics in healthcare. The condition of the human body, e.g. the ECG signal, can be monitored regularly by means of a portable sensor device. The use of t...

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Bibliographic Details
Main Authors: Nico Surantha, Tri Fennia Lesmana, Sani Muhamad Isa
Format: Article
Language:English
Published: SpringerOpen 2021-01-01
Series:Journal of Big Data
Subjects:
Electrocardiogram
Extreme learning machine
Heart rate variability
Particle swarm optimization
Sleep stages
Online Access:https://doi.org/10.1186/s40537-020-00406-6

Internet

https://doi.org/10.1186/s40537-020-00406-6

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