@inproceedings{1f372d5ec70141899d6bf18a200df2e6,
title = "Smartphone hypertension detector: Monitoring sleep behavior to detect possible hypertensive population",
abstract = "Hypertension detection is an important global health challenge, in which there exists a large population of hypertensive people, yet a great portion of them remain undiagnosed. Recently, studies have indicated a strong correlation between early obstructive sleep apnea and the development of hypertension. Based on the relationship, we propose the smartphone hypertension detector which can detect hypertensive users by automatically monitoring user's overnight sleep behavior. The portable mobile application can serve as a premonitory detection method complementary to traditional medical detection methods. Experiments of smartphone hypertension detector have demonstrated its desired functionality and practicality for real-world deployment.",
keywords = "Hypertension, Mobile application, Obstructive sleep apnea, Sleep feature",
author = "Junqiao Fan and Shihao Xu and Xiping Hu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020 ; Conference date: 01-03-2021 Through 02-03-2021",
year = "2021",
month = mar,
day = "1",
doi = "10.1109/HEALTHCOM49281.2021.9398996",
language = "English",
series = "2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020",
address = "United States",
}