An Adaptive Filtering Approach Using Supervised SSA for Identification of Sleep Stages From EEG

An Adaptive Filtering Approach Using Supervised SSA for Identification of Sleep Stages From EEG

Purpose: Sleep is a complex physiological state and an indicator of the changes in the brain function similar to those occurring in many psychiatric and neurological conditions. Since visual sleep scoring consuming process, automatic sleep staging methods, also called scoring, hold promise in diagno...

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Bibliographic Details
Main Authors: Samaneh Kouchaki Kouchaki, Konstantinos Eftaxias, Saeid Sanei
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2014-12-01
Series:Frontiers in Biomedical Technologies
Subjects:
Adaptive Filters
Empirical Mode Decomposition
Recursive Least Squares
Singular Spectrum Analysis
Sleep EEG.
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/15

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https://fbt.tums.ac.ir/index.php/fbt/article/view/15

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