@inproceedings{acfbc36be8ad4c5dbb9d234c2a922f88,
title = "Real-Time Human Sleep Conditions Monitoring with Optical Fiber Interferometer Based on a Novel Machine Learning Method",
abstract = "Optical fiber sensor with fiber interferometer can obtain human vital signs signals more accurately and effectively. A novel machine learning model (PGSVM) is proposed to monitor sleep conditions better with the proposed optical fiber sensor.",
keywords = "Fiber Interferometer, Machine Learning, Optical Fiber Sensor, PGSVM, Sleep Monitoring, Vital Signs",
author = "Qing Wang and Ke Li and Xiang Wang and Jing Zhou and Changyuan Yu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 22nd International Conference on Optical Communications and Networks, ICOCN 2024 ; Conference date: 26-07-2024 Through 29-07-2024",
year = "2024",
month = jul,
doi = "10.1109/ICOCN63276.2024.10648433",
language = "English",
series = "2024 22nd International Conference on Optical Communications and Networks, ICOCN 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 22nd International Conference on Optical Communications and Networks, ICOCN 2024",
}