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Sensors 2017, 17(3), 485; doi:10.3390/s17030485

A Doppler Radar System for Sensing Physiological Parameters in Walking and Standing Positions

1
Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Melbourne 3168, Australia
2
Department of Infrastructure Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne 3010, Australia
*
Author to whom correspondence should be addressed.
Academic Editors: Giancarlo Fortino, Hassan Ghasemzadeh, Wenfeng Li, Yin Zhang and Luca Benini
Received: 30 January 2017 / Revised: 21 February 2017 / Accepted: 24 February 2017 / Published: 1 March 2017
(This article belongs to the Special Issue Advances in Body Sensor Networks: Sensors, Systems, and Applications)
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Abstract

Doppler radar can be implemented for sensing physiological parameters wirelessly at a distance. Detecting respiration rate, an important human body parameter, is essential in a range of applications like emergency and military healthcare environments, and Doppler radar records actual chest motion. One challenge in using Doppler radar is being able to monitor several patients simultaneously and in different situations like standing, walking, or lying. This paper presents a complete transmitter-receiver Doppler radar system, which uses a 4 GHz continuous wave radar signal transmission and receiving system, to extract base-band data from a phase-shifted signal. This work reports experimental evaluations of the system for one and two subjects in various standing and walking positions. It provides a detailed signal analysis of various breathing rates of these two subjects simultaneously. These results will be useful in future medical monitoring applications. View Full-Text
Keywords: Doppler radar; physiological parameters monitoring; arctangent demodulation; respiration rate; remote sensing Doppler radar; physiological parameters monitoring; arctangent demodulation; respiration rate; remote sensing
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Pour Ebrahim, M.; Sarvi, M.; Yuce, M.R. A Doppler Radar System for Sensing Physiological Parameters in Walking and Standing Positions. Sensors 2017, 17, 485.

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