Automated Characterization of Cyclic Alternating Pattern Using Wavelet-Based Features and Ensemble Learning Techniques with EEG Signals

Automated Characterization of Cyclic Alternating Pattern Using Wavelet-Based Features and Ensemble Learning Techniques with EEG Signals

Sleep is highly essential for maintaining metabolism of the body and mental balance for increased productivity and concentration. Often, sleep is analyzed using macrostructure sleep stages which alone cannot provide information about the functional structure and stability of sleep. The cyclic altern...

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Bibliographic Details
Main Authors: Manish Sharma, Virendra Patel, Jainendra Tiwari, U. Rajendra Acharya
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Diagnostics
Subjects:
sleep
sleep macrostructure
sleep microstructure
electroencephalogram (EEG)
polysomnogram (PSG)
cyclic alternating pattern (CAP)
Online Access:https://www.mdpi.com/2075-4418/11/8/1380

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https://www.mdpi.com/2075-4418/11/8/1380

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