An automated framework for predicting obstructive sleep apnea using a brief, daytime, non-intrusive test procedure

Lauren Samy, Paul M. Macey, Majid Sarrafzadeh, Nabil Alshurafa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Sleep constitutes a big portion of our lives and is a major part of health and well-being. The vital repair and regeneration tasks carried out during sleep are essential for our physical, mental and emotional health. Obstructive sleep apnea (OSA) is a sleep disorder that is characterized by repeated pauses in breathing during sleep. These pauses, or apneas, deplete the brain and the rest of the body of oxygen and disrupt the normal sleep cycle. OSA is associated with a number of adverse safety and health consequences, including excessive daytime sleepiness and fatigue, which increase the risk for motor vehicle and work-related accidents. OSA also results in an increased risk for hypertension, cardiovascular disease, the development of diabetes and even premature death. The gold standard method for diagnosing OSA patients is polysomnography (PSG). PSG is an overnight sleep test that monitors a participant's biophysical changes (EEG, ECG, etc.) that occur during sleep. Despite its wide use and multi-parametric nature, there are multiple complications associated with that test that make it ineffective as an early-stage diagnosis tool. In this paper, we propose a daytime OSA screening tool that addresses the shortcomings of PSG. The framework consists of a data collection component that acquires information about the subject being tested, and a prediction component that analyzes the collected data and makes a diagnosis.

Original languageEnglish (US)
Title of host publication8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Proceedings
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450334525
DOIs
StatePublished - Jul 1 2015
Event8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Corfu, Greece
Duration: Jul 1 2015Jul 3 2015

Other

Other8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015
CountryGreece
CityCorfu
Period7/1/157/3/15

Keywords

  • Classification
  • Non-intrusive
  • Obstructive sleep apnea
  • Outcome prediction
  • Screening

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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