| Author: | Chen, Tianyu |
| Title: | A real-time sleep monitoring system based on optical fiber sensor |
| Advisors: | Yu, Changyuan (EEE) |
| Degree: | M.Sc. |
| Year: | 2024 |
| Department: | Department of Electrical and Electronic Engineering |
| Pages: | 1 volume (unpaged) : color illustrations |
| Language: | English |
| Abstract: | This study introduces a real-time sleep monitoring system using optical fiber sensors and threshold-based and neural network based turnover detection, enabling non-invasive extraction of heart and respiratory rates with high accuracy for clinical and home environments and addressing the growing need for non-invasive and user-friendly sleep assessment tools. The system consists of a single mode fiber optic sensor for data collection, a signal acquisition board for demodulation and transmission, and a software platform for real-time data processing, visualization and storage. This dissertation details the design and implementation of the optical fiber sensor, the system setup, and the optimizations made for real-time monitoring and sleep staging. The system's performance is evaluated through experimental results, demonstrating its ability to accurately capture BCG waveforms and extract physiological parameters such as HR and RR. The system's latency is measured to ensure real-time capabilities, and two rollover detection algorithms are introduced to handle signal interference during sleep. The results show that the system can effectively monitor sleep patterns, with potential applications in healthcare for continuous health monitoring, wearable devices, and remote patient monitoring. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8306.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.41 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/13898