Automated Identification of Sleep Disorder Types Using Triplet Half-Band Filter and Ensemble Machine Learning Techniques with EEG Signals

Automated Identification of Sleep Disorder Types Using Triplet Half-Band Filter and Ensemble Machine Learning Techniques with EEG Signals

A sleep disorder is a medical condition that affects an individual’s regular sleeping pattern and routine, hence negatively affecting the individual’s health. The traditional procedures of identifying sleep disorders by clinicians involve questionnaires and polysomnography (PSG), which are subjectiv...

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Bibliographic Details
Main Authors: Manish Sharma, Jainendra Tiwari, Virendra Patel, U. Rajendra Acharya
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
sleep
sleep stages
polysomnography (PSG)
classification
ensemble boosted trees
Online Access:https://www.mdpi.com/2079-9292/10/13/1531

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https://www.mdpi.com/2079-9292/10/13/1531

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