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Signal Separation and Tracking Algorithm for Multi-Person Vital Signs by Using Doppler Radar

Chian, D-M; Wen, C-K; Wang, F-K; Wong, K-K; (2020) Signal Separation and Tracking Algorithm for Multi-Person Vital Signs by Using Doppler Radar. IEEE Transactions on Biomedical Circuits and Systems , 14 (6) pp. 1346-1361. 10.1109/TBCAS.2020.3029709. Green open access

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Abstract

Noninvasive monitoring is an important Internet-of-Things application, which is made possible with the advances in radio-frequency based detection technologies. Existing techniques however rely on the use of antenna array and/or frequency modulated continuous wave radar to detect vital signs of multiple adjacent objects. Antenna size and limited bandwidth greatly limit the applicability. In this paper, we propose our system termed ‘DeepMining’ which is a single-antenna, narrowband Doppler radar system that can simultaneously track the respiration and heartbeat rates of multiple persons with high accuracy. DeepMining uses a number of signal observations over a period of time as input and returns the trajectory of the respiration and heartbeat rates of each person. The extraction is based on frequency separation algorithms using successive signal cancellation. The proposed system is implemented using the self-injection locking radar architecture and tested in a series of experiments, showing accuracies of 90% and 85% for two and three objects, respectively, even for closely located persons.

Type: Article
Title: Signal Separation and Tracking Algorithm for Multi-Person Vital Signs by Using Doppler Radar
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TBCAS.2020.3029709
Publisher version: https://doi.org/10.1109/TBCAS.2020.3029709
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Blind source separation, frequency estimation, multi-person vital sign, wireless sensing
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10122808
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