@inproceedings{a7f6f747d95b4741ae33a7004b584800,
title = "A Deep Learning-Based Model for Human Non-Invasive Vital Sign Signal Monitoring with Optical Fiber Sensor",
abstract = "This paper proposes a non-contact monitoring system using an optical fiber sensor and deep learning techniques for accurate vital sign measurements. The system combines a Mach-Zehnder interferometer-based monitor with LSTM networks, outperforming traditional methods and offering potential applications in medical diagnostics.",
keywords = "CEEMDAN, EEMD, LSTM, MZI, optical fiber sensor, vital signs monitoring",
author = "Qichang Zhang and Weimin Lyu and Qing Wang and Changyuan Yu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 ; Conference date: 04-11-2023 Through 07-11-2023",
year = "2023",
month = nov,
doi = "10.1109/ACP/POEM59049.2023.10369647",
language = "English",
series = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023",
}