Cyclostationary modelling of amplitude and frequency modulated signals in heart and respiration monitoring Doppler radar systems

Unobtrusive and continuous monitoring of cardiopulmonary activity at a distance provides a potential tool in making health care and emergency delivery more efficient. Doppler radar remote sensing of vital signs has shown promise to this end, with proof of concept demonstrated for various application...

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Bibliographic Details
Published in:IET radar, sonar & navigation sonar & navigation, 2015-02, Vol.9 (2), p.116-124
Main Authors: Kazemi, Somayeh, Ghorbani, Ayaz, Amindavar, Hamidreza
Format: Article
Language:English
Subjects:
amplitude modulated signal cyclostationary modelling
Amplitudes
body motion artefact
cardiology
cardiopulmonary activity continuous monitoring
cardiopulmonary activity unobtrusive monitoring
DC offset
Doppler effect
Doppler radar
Doppler radar remote sensing
Emergencies
emergency delivery
female student
FM radar
frequency modulated signal cyclostationary modelling
health care
heart monitoring Doppler radar system
medical signal processing
miniaturised noncontact heartbeat monitoring radar system
Monitoring
patient monitoring
pneumodynamics
quadrature amplitude modulation
quadrature Doppler effect
Radar
radar signal processing
remote sensing by radar
Respiration
respiration monitoring Doppler radar system
returned amplitude modulated radar signal
returned frequency modulated radar signal
second‐order cyclostationary model
Sonar
Special Issue on Application of Radar to Remote Patient Monitoring and Eldercare
vital sign extraction
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Summary:Unobtrusive and continuous monitoring of cardiopulmonary activity at a distance provides a potential tool in making health care and emergency delivery more efficient. Doppler radar remote sensing of vital signs has shown promise to this end, with proof of concept demonstrated for various applications such as more comfortable monitoring for many people. In this study, the authors present a second-order cyclostationary model for the returned amplitude and frequency modulated radar signal, which is contaminated with various noises, body motion artefacts and dc offset, to extract vital signs. They validate their model with confidence interval extraction from 500 simulation runs and also with 50 experiment runs on a female student using a miniaturised non-contact heartbeat and respiration monitoring radar system based on the quadrature Doppler effect.
ISSN:1751-8784
1751-8792
1751-8792
DOI:10.1049/iet-rsn.2014.0165