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Non-contact breathing detection using passive radar

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

43 Citations (Scopus)
621 Downloads (Pure)

Abstract

Non-contact breathing monitoring systems are very attractive for a range of e-Healthcare applications. This paper proposes a passive radar based system for measuring human breathing rate. A novel signal processing method is introduced to extract breathing rate based on micro Doppler derived from cross ambiguity function (CAF). The passive radar system is built within a software defined radio (SDR) platform. The proposed system uses opportunistically energy harvesting transmitter as an illumination signal. Passive detection is compared and verified using the ground truth from clinical chest belt respiration detector. Two experiments have been conducted to show the feasibility of passive detection system in the line of sight and also through-wall conditions. We conclude that a low frequency narrow band signal with non-contact passive detection can offer a realistic alternative to UWB based radars for future e-Healthcare passive sensing applications.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Communications (ICC 2016)
Subtitle of host publicationProceedings of a meeting held 22-27 May 2016, Kuala Lumpur, Malaysia
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4337-4342
Number of pages6
ISBN (Electronic)9781479966646
ISBN (Print)9781479966653
DOIs
Publication statusPublished - Aug 2016
Event2016 IEEE International Conference on Communications (ICC) - Kuala Lumpur, Malaysia
Duration: 23 May 2016 → 27 May 2016

Publication series

Name
ISSN (Print)1938-1883

Conference

Conference2016 IEEE International Conference on Communications (ICC)
Country/TerritoryMalaysia
CityKuala Lumpur
Period23/05/16 → 27/05/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Groups and Themes

  • Digital Health
  • SPHERE

Access to Document

  • Full-text PDF (accepted author manuscript)

    This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/document/7511389. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 4.63 MB

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    • SPHERE (EPSRC IRC)

      Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)

      1/10/13 → 30/09/18

      Project: Research, Parent

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