title: A Doppler Radar System for Sensing Physiological Parameters in Walking and Standing Positions.
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.
authors.affiliation: Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Melbourne 3168, Australia. melika.pour.ebrahim@monash.edu.
authors.forename: Malikeh
authors.initials: M
authors.lastname: Pour Ebrahim
authors.affiliation: Department of Infrastructure Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne 3010, Australia. msarvi@unimelb.edu.au.
authors.forename: Majid
authors.initials: M
authors.lastname: Sarvi
authors.affiliation: Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Melbourne 3168, Australia. mehmet.yuce@monash.edu.
authors.forename: Mehmet Rasit
authors.initials: MR
authors.lastname: Yuce
mesh_terms: D006801:Humans; D008991:Monitoring, Physiologic; D011187:Posture; D011825:Radar; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D016138:Walking
keywords: Doppler radar; arctangent demodulation; physiological parameters monitoring; remote sensing; respiration rate