Abstract

An integrated remote wireless sensor to measure respiration and heart rate without any contact is presented. The low-power wireless sensor system uses RF transceiver with embedded DSP algorithm to monitor cardiac and respiratory activities. The prototype system is implemented using a quadrature Low-IF Bluetooth transceiver at 2.4 GHz with a 30 KHz single-side band reference tone. The low-IF signal is digitized at 100 KHz and the embedded DSP algorithm estimates the Doppler phase shift, while reducing the system noise, LO phase noise, 1/f noise, DC offset, and minimizes the clutter, multi-path and echo signals. A new Pattern Search in Noise Subspace (PSNS) algorithm is used to estimate the sub-HZ phase shift due to heart and respiratory movement. The prototype system is tested in the lab with multiple individuals at 5-20 ft distance with less than 5% error.

Original languageEnglish (US)
Title of host publicationIEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479972333
DOIs
StatePublished - Dec 4 2015
Event11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015 - Atlanta, United States
Duration: Oct 22 2015Oct 24 2015

Other

Other11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
CountryUnited States
CityAtlanta
Period10/22/1510/24/15

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Keywords

  • Biomedical monitoring
  • Biomedical telemetry
  • Doppler radar
  • MUSIC
  • Patient monitoring
  • Subspace spectrum estimation

ASJC Scopus subject areas

  • Biotechnology
  • Instrumentation
  • Biomedical Engineering
  • Electrical and Electronic Engineering

Cite this

Khunti, H., Krehbiel, J., Cheah, M., Bakkaloglu, B., & Kiaei, S. (2015). SSB transceiver for vital sign detection. In IEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings [7348417] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS.2015.7348417