Non-contact breathing detection using passive radar

Wenda Li, Bo Tan, Robert J. Piechocki

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

20 Citations (Scopus)

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
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-1-4799-6664-6
ISBN (Print)978-1-4799-6665-3
DOIs
Publication statusPublished - 12 Jul 2016
Externally publishedYes
Event2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia
Duration: 22 May 2016 → 27 May 2016

Conference

Conference2016 IEEE International Conference on Communications, ICC 2016
CountryMalaysia
CityKuala Lumpur
Period22/05/16 → 27/05/16

Keywords

  • Doppler shift
  • Passive radar
  • Belts
  • Surveillance
  • Signal processing
  • Lighting
  • software radio
  • Doppler radar
  • energy harvesting
  • medical signal processing
  • passive radar
  • patient monitoring
  • pneumodynamics
  • radar detection
  • microDoppler
  • noncontact breathing detection
  • passive radar system
  • noncontact breathing monitoring system
  • human breathing rate
  • signal processing method
  • cross ambiguity function
  • CAF
  • software defined radio
  • SDR
  • energy harvesting transmitter
  • illumination signal
  • passive detection system
  • through-wall condition
  • frequency narrow band signal
  • e-Healthcare passive sensing application

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • 20 Citations
  • 1 Chapter

  • SPHERE: A sensor platform for healthcare in a residential environment

    Woznowski, P., Burrows, A., Diethe, T., Fafoutis, X., Hall, J., Hannuna, S., Camplani, M., Twomey, N., Kozlowski, M., Tan, B., Zhu, N., Elsts, A., Vafeas, A., Paiement, A., Tao, L., Mirmehdi, M., Burdhardt, T., Damen, D., Flach, P., Piechocki, R. & 2 others, Craddock, I. & Oikonomou, G., 6 Dec 2016, Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions. Angelakis, V., Tragos, E., Pöhls, H. C., Kapovits, A. & Bassi, A. (eds.). Switzerland: Springer, p. 315-333 19 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

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