Performance Comparison of Standard Polysomnographic Parameters Used in the Diagnosis of Sleep Apnea

• DOI: 10.55525/tjst.1419740
• Publication Date: 2024-03-26T21:05:26Z
• Authors: Seda Arslan Tuncer; Yakup Çiçek; Taner Tuncer
• Keywords: Sleep; Sleep Stages; Parasomnia

Obstructive sleep apnea (OSAS), which is one of the leading disorders and can result in death if not diagnosed treated early, most often confused with snoring. OSAS disease, prevalence varies between 0.9% 1.9% Turkey, a serious health problem that occurs as complete or partial obstruction respiratory tract during sleep, resulting disruption, poor quality paralysis even sleep. Polysomnography signal recordings (PSG) obtained from laboratories are used for diagnosis OSAS, related to factors such individual's age, gender, neck diameter, smoking-alcohol consumption, occurrence other disorders. treatment snoring, apnea, parasomnia (abnormal behaviors sleep), narcolepsy (sleep attacks develop day) restless legs syndrome. It allows recording various parameters brain waves, eye movements, heart chest activity measurement, activities, amount oxygen blood help electrodes placed different parts patient's body night In this article, performance PSG data was examined on basis both method used. First, feature extraction made signals, then vector classified Artificial Neural Networks, Support Vector Machine (SVM), k-Nearest Neighbors (k-NN) Logistic Regression (LR).