Author: | Lyu, Weimin |
Title: | A myocardial contractility assessment system based on fiber optic sensors |
Advisors: | Yu, Changyuan (EIE) |
Degree: | M.Sc. |
Year: | 2020 |
Subject: | Optical fiber detectors Biosensors Heart -- Diseases -- Diagnosis Cardiovascular system -- Diseases -- Diagnosis Hong Kong Polytechnic University -- Dissertations |
Department: | Department of Electronic and Information Engineering |
Pages: | viii, 46 pages : color illustrations |
Language: | English |
Abstract: | With the improvement in living conditions in modern society and the development of medical technology, health care has received more and more attention. People are willing to spend more on health care. Vital signs, including heart rate (HR) and heart health signals, are issues of general concern. Fiber optic sensors with inherent advantages, including high sensitivity, low cost, immunity to electromagnetic interference, etc., are being widely used in biomedical sensing. This paper describes a fiber optic sensor-based myocardial contractility assessment system. This sensor bases on the simple principle of the Mach-Zehnder interferometer (MZI). These fiber optic sensors can be embedded in the seat cushion, and the user does not need to wear it. And he/she only requires to sit still for about 2 minutes. The raw data does not require signal processing to obtain a satisfactory heartbeat detail signal. The ballistocardiogram (BCG) signal collected by our fiber optic sensor combined with the electrocardiogram (ECG) signal can assess the ability of the myocardial contractility. Our myocardial contractility assessment system implements a non-invasive and non-contact monitoring method. Besides, the surveillance system can be used at home and in the care room to monitor elderly or patients, which can significantly reduce the amount of care. |
Rights: | All rights reserved |
Access: | restricted access |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
5168.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.13 MB | Adobe PDF | View/Open |
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