Non-contact breathing detection using passive radar

Wenda Li, Bo Tan, Robert J. Piechocki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 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 publicationProceedings of the 2016 IEEE International Conference on Communications (ICC)
PublisherIEEE
Number of pages6
ISBN (Print)9781479966646
DOIs
Publication statusPublished - May 2016
Event2016 IEEE International Conference on Communications - Kuala Lumpur, Malaysia
Duration: 22 May 201627 May 2022

Conference

Conference2016 IEEE International Conference on Communications
Abbreviated titleICC 2016
Country/TerritoryMalaysia
CityKuala Lumpur
Period22/05/1627/05/22

Fingerprint

Dive into the research topics of 'Non-contact breathing detection using passive radar'. Together they form a unique fingerprint.

Cite this