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 the patient’s body is fitted with many sensors. Objective: This study aims to propose … Read more

Detection of Obstructive Sleep Apnea using electrocardiographic features and discriminant analysis

Detection of Obstructive Sleep Apnea (OSA) is important as it is closely related to the cause of sudden death, due to heart failure during sleep. In this article, the method for OSA detection utilizes electrocardiographic parameters: QRS interval, QT interval and RT interval. The parameters are used for inputs of discriminant analysis. To find the … Read more