Predicting Polysomnography Parameters from Anthropometric Features and Breathing Sounds Recorded during Wakefulness

Predicting Polysomnography Parameters from Anthropometric Features and Breathing Sounds Recorded during Wakefulness

Background: The apnea/hypopnea index (AHI) is the primary outcome of a polysomnography assessment (PSG) for determining obstructive sleep apnea (OSA) severity. However, other OSA severity parameters (i.e., total arousal index, mean oxygen saturation (SpO2%), etc.) are crucial for a full diagnosis of...

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Bibliographic Details
Main Authors: Ahmed Elwali, Zahra Moussavi
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Diagnostics
Subjects:
obstructive sleep apnea
screening
machine learning
correlation
trachea
sleep report
Online Access:https://www.mdpi.com/2075-4418/11/5/905

Internet

https://www.mdpi.com/2075-4418/11/5/905

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