Millimetre wave radar with machine intelligence for vital sign monitoring
Nowadays, many elderly people need patient care monitoring. Using non-contact vital sign monitoring can provide better information for night caregivers or nurses to improve the efficiency of caring for a large number of patients. In human body sensing applications, traditionally PIR (Pyro-elec...
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sg-ntu-dr.10356-1402792023-07-07T18:48:03Z Millimetre wave radar with machine intelligence for vital sign monitoring Qin,Yang LU Yilong School of Electrical and Electronic Engineering eylu@e.ntu.edu.sg Engineering::Electrical and electronic engineering Nowadays, many elderly people need patient care monitoring. Using non-contact vital sign monitoring can provide better information for night caregivers or nurses to improve the efficiency of caring for a large number of patients. In human body sensing applications, traditionally PIR (Pyro-electric Infrared Detector, pyroelectric infrared sensor), camera, and ultrasonic sensors are used, but these detection technologies can only sense primary and secondary movements. The human movement cannot be accurately detected. The new small high-precision radar sensor can already detect extremely small human movements, whether it is main, slight movements, or even breathing movements, and has become a new choice for human detection applications. This project is to talk about the radar with machine intelligence for vital sign monitoring. This report provides some literature review which include some basic radar principles and data processing procedures. Also, this report describes how the hardware and software will be implemented to analyse the radar signal. By analysing those results, we can judge the measurement accuracy under different situations. Therefore, we can clearly know the advantages and limitations of this radar sensor. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-27T12:08:41Z 2020-05-27T12:08:41Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140279 en P3047-182 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Qin,Yang Millimetre wave radar with machine intelligence for vital sign monitoring |
description |
Nowadays, many elderly people need patient care monitoring. Using non-contact vital
sign monitoring can provide better information for night caregivers or nurses to
improve the efficiency of caring for a large number of patients.
In human body sensing applications, traditionally PIR (Pyro-electric Infrared Detector,
pyroelectric infrared sensor), camera, and ultrasonic sensors are used, but these
detection technologies can only sense primary and secondary movements. The human
movement cannot be accurately detected. The new small high-precision radar sensor
can already detect extremely small human movements, whether it is main, slight
movements, or even breathing movements, and has become a new choice for human
detection applications.
This project is to talk about the radar with machine intelligence for vital sign
monitoring. This report provides some literature review which include some basic
radar principles and data processing procedures. Also, this report describes how the
hardware and software will be implemented to analyse the radar signal. By analysing
those results, we can judge the measurement accuracy under different situations.
Therefore, we can clearly know the advantages and limitations of this radar sensor. |
author2 |
LU Yilong |
author_facet |
LU Yilong Qin,Yang |
format |
Final Year Project |
author |
Qin,Yang |
author_sort |
Qin,Yang |
title |
Millimetre wave radar with machine intelligence for vital sign monitoring |
title_short |
Millimetre wave radar with machine intelligence for vital sign monitoring |
title_full |
Millimetre wave radar with machine intelligence for vital sign monitoring |
title_fullStr |
Millimetre wave radar with machine intelligence for vital sign monitoring |
title_full_unstemmed |
Millimetre wave radar with machine intelligence for vital sign monitoring |
title_sort |
millimetre wave radar with machine intelligence for vital sign monitoring |
publisher |
Nanyang Technological University |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/140279 |
_version_ |
1772826627932160000 |