A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network

A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network

This study presents an automatic sleep-stage classification system based on utilizing compressive sensing (CS) for data reduction. The amount of electroencephalogram (EEG) signal data required for sleep-stage classification can be significantly reduced by applying CS at the cost of distortion in the...

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Bibliographic Details
Main Authors: Hyunkeun Lee, Jinyoung Choi, Seunghun Kim, Sung Chan Jun, Byung-Geun Lee
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Compressive sensing
electroencephalogram
neural networks
radial basis function
sleep-stage classification
Online Access:https://ieeexplore.ieee.org/document/8938664/

Internet

https://ieeexplore.ieee.org/document/8938664/

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