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Computer-Aided Detection with a Portable Electrocardiographic Recorder and Acceleration Sensors for Monitoring Obstructive Sleep Apnea

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Author(s)
Ji-Won BaekYoon-Nyun KimDong Eun KimJong-Ha Lee
Keimyung Author(s)
Lee, Jong HaKim, Yoon NyunKim, Dong Eun
Department
Dept. of Biomedical Engineering (의용공학과)
Dept. of Internal Medicine (내과학)
Dept. of Otorhinolaryngology (이비인후과학)
Journal Title
Sensors & Transducers
Issued Date
2014
Volume
167
Issue
3
Keyword
Computer-aided diagnosisObstructive sleep apneaAcceleration sensorElectrocardiographyAdaboostMachine learning
Abstract
Obstructive sleep apnea syndrome is a sleep-related breathing disorder that is caused by obstruction of the upper airway. This condition may be related with many clinical sequelae such as cardiovascular disease, high blood pressure, stroke, diabetes, and clinical depression. To diagnosis obstructive sleep apnea, in-laboratory full polysomnography is considered as a standard test to determine the severity of respiratory disturbance. However, polysomnography is expensive and complicated to perform. In this research, we explore a computer-aided diagnosis system with portable ECG equipment and tri-accelerometer (x, y, and z-axes) that can automatically analyze biosignals and test for OSA. Traditional approaches to sleep apnea data analysis have been criticized; however, there are not enough suggestions to resolve the existing problems. As an effort to resolve this issue, we developed an approach to record ECG signals and abdominal movements induced by breathing by affixing ECG-enabled electrodes onto a triaxial accelerometer. With the two signals simultaneously measured, the apnea data obtained would be more accurate, relative to cases where a single signal is measured. This would be helpful in diagnosing OSA. Moreover, a useful feature point can be extracted from the two signals after applying a signal processing algorithm, and the extracted feature point can be applied in designing a computer-aided diagnosis algorithm using a machine learning technique.
Keimyung Author(s)(Kor)
이종하
김윤년
김동은
Publisher
School of Medicine
Citation
Ji-Won Baek et al. (2014). Computer-Aided Detection with a Portable Electrocardiographic Recorder and Acceleration Sensors for Monitoring Obstructive Sleep Apnea. Sensors & Transducers, 167(3), 80–87.
Type
Article
ISSN
2306-8515
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/34390
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
1. School of Medicine (의과대학) > Dept. of Otorhinolaryngology (이비인후과학)
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