@inproceedings{66efca5c51a043b08f8d889b0b4e7e6f,
title = "Radar Monitoring in Sleep Medicine",
abstract = "An overnight sleep study can provide vital health diagnostics yet typically involves applying and monitoring multiple body-contact sensors, which can interfere with sleep and require cumbersome manual data analysis. Doppler radar technology has been demonstrated to provide a non-invasive means of measuring vital signs through clothing and bedding, including respiratory rate, heart rate, motion activity, body position, and tidal respiratory volume. This paper examines the potential for applying physiological radar to assess sleep apnea and intervention strategies.",
keywords = "Doppler radar, Machine learning, Obstructive sleep apnea, Sleep medicine, Sleep posture",
author = "Victor Lubecke and Olga Boric-Lubecke and Ishrak, {Mohammad Shadman} and Teresa Wu and Fulin Cai",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2023 ; Conference date: 25-10-2023 Through 27-10-2023",
year = "2023",
doi = "10.1109/TELSIKS57806.2023.10316075",
language = "English (US)",
series = "2023 International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "109--113",
editor = "Doncov, {Nebojsa S.} and Stankovic, {Zoran Z.} and Stosic, {Biljana P.}",
booktitle = "2023 International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2023",
}