Obstructive Sleep Apnea Detection using Frequency Analysis of Electrocardiographic RR Interval and Machine Learning Algorithms

Obstructive Sleep Apnea Detection using Frequency Analysis of Electrocardiographic RR Interval and Machine Learning Algorithms

Background: Obstructive Sleep Apnea (OSA) is a respiratory disorder due to obstructive upper airway (mainly in the oropharynx) periodically during sleep. The common examination used to diagnose sleep disorders is Polysomnography (PSG). Diagnose with PSG feels uncomfortable for the patient because th...

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Bibliographic Details
Main Authors: Aida Noor Indrawati, Nuryani Nuryani, Anto Satriyo Nugroho, Trio Pambudi Utomo
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2022-12-01
Series:Journal of Biomedical Physics and Engineering
Subjects:
electrocardiography
sleep apnea
obstructive
machine learning
Online Access:https://jbpe.sums.ac.ir/article_48074_40c9a630a5f27e96031eeeaa13420db9.pdf

Internet

https://jbpe.sums.ac.ir/article_48074_40c9a630a5f27e96031eeeaa13420db9.pdf

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