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Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages

Electroencephalography (EEG) is immediate and sensitive to neurological changes resulting from sleep stages and is considered a computing tool for understanding the association between neurological outcomes and sleep stages. EEG is expected to be an efficient approach for sleep stage prediction outs...

Täydet tiedot

Tallennettuna:
Päätekijät: Iqram Hussain, Md Azam Hossain, Rafsan Jany, Md Abdul Bari, Musfik Uddin, Abu Raihan Mostafa Kamal, Yunseo Ku, Jik-Soo Kim
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2022-04-01
Sarja:Sensors
Aiheet:
electroencephalogram
sleep stages
physiological biomarker
neuroscience
polysomnography
machine-learning
Linkit:https://www.mdpi.com/1424-8220/22/8/3079
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