TY - GEN
T1 - Development of home-based sleep monitoring system for obstructive sleep apnea
AU - Wu, Peirong
AU - Chen, Guan Ting
AU - Cui, Yanyan
AU - Li, Jin Wei
AU - Kuo, Terry B.J.
AU - Chang, Polun
N1 - Publisher Copyright:
© 2017 International Medical Informatics Association (IMIA) and IOS Press.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Obstructive Sleep Apnea (OSA) has been proven to increase the risk of high blood pressure, heart attack, stroke, obesity, and diabetes. If people would like to know whether they are suffering from this sleep disorder, they need to go to particular hospital with which a sleep center that could perform polysomnography (PSG); however, for most people, this is not convenient. Consequently, the goal of this study is to develop a convenient, lower priced, and easy-to-use home-based sleep monitoring system. The researchers have developed the "Sleep Healthcare Management System" for OSA patients and healthcare providers. It combines smartphone and wearable devices that can perform real-time sleep monitoring. Healthcare providers could apply their professional knowledge to provide customized feedback via a web application. When the patient is diagnosed with an abnormal sleep health condition, healthcare providers may be able to provide appropriate and timely care.
AB - Obstructive Sleep Apnea (OSA) has been proven to increase the risk of high blood pressure, heart attack, stroke, obesity, and diabetes. If people would like to know whether they are suffering from this sleep disorder, they need to go to particular hospital with which a sleep center that could perform polysomnography (PSG); however, for most people, this is not convenient. Consequently, the goal of this study is to develop a convenient, lower priced, and easy-to-use home-based sleep monitoring system. The researchers have developed the "Sleep Healthcare Management System" for OSA patients and healthcare providers. It combines smartphone and wearable devices that can perform real-time sleep monitoring. Healthcare providers could apply their professional knowledge to provide customized feedback via a web application. When the patient is diagnosed with an abnormal sleep health condition, healthcare providers may be able to provide appropriate and timely care.
KW - Obstructive sleep apnea
KW - Polysomnography
KW - Smartphone
UR - http://www.scopus.com/inward/record.url?scp=85040523751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040523751&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-830-3-268
DO - 10.3233/978-1-61499-830-3-268
M3 - Conference contribution
C2 - 29295096
AN - SCOPUS:85040523751
T3 - Studies in Health Technology and Informatics
SP - 268
EP - 272
BT - MEDINFO 2017
A2 - Dongsheng, Zhao
A2 - Gundlapalli, Adi V.
A2 - Marie-Christine, Jaulent
PB - IOS Press
T2 - 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Y2 - 21 August 2017 through 25 August 2017
ER -