Apache Spark SVM for Predicting Obstructive Sleep Apnea

Is Apnea-Hypopnea Index a proper measure for Obstructive Sleep Apnea severity?

obstructive sleep apnea

sleep apnea, and particularly obstructive sleep apnea, is a common disorder that is characterized by a repetitive, partial or complete cessation of air flow, associated with oxyhemoglobin desaturation and an increased effort to breath. in recent years, orthodontists have been interested and involved in the management of this disorder since it has been shown that oral appliance therapy can be an...

Airway observations during upper endoscopy predicting obstructive sleep apnea

BACKGROUND This pilot study examined airway characteristics during upper endoscopy to determine who is at high risk for obstructive sleep apnea. METHODS Patients undergoing routine upper endoscopy were divided into 2 groups according to the Berlin Questionnaire (high and low risk for sleep disordered breathing). Patients underwent routine upper endoscopy using propofol sedation. The airway wa...

Self-Advising SVM for Sleep Apnea Classification

In this paper Self-Advising SVM, a new proposed version of SVM, is investigated for sleep apnea classification. Self-Advising SVM tries to transfer more information from training phase to the test phase in compare to the traditional SVM. In this paper Sleep apnea events are classified to central, obstructive or mixed, by using just three signals, airflow, abdominal and thoracic movement, as inp...

Obstructive sleep apnea and the severity of coronary artery disease

Background: It has been implicated that obstructive sleep apnea (OSA) is associated with increased risk of cardiovascular disease including stroke, myocardial infarction, coronary artery disease (CAD) and hypertension. The aim of this study was to investigate the correlation between OSA and severity of atherosclerosis assessed by angiography. Methods: This study included 337 patients ...