Cyclostationary approach to Doppler radar heart and respiration rates monitoring with body motion cancelation using Radar Doppler System

Somayeh Kazemi, Ayaz Ghorbani, Hamidreza Amindavar, Changzhi Li

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

Heart and respiration rate measurement using Doppler radar is a non-contact and non-obstructive way for remote thorough-clothing monitoring of vital signs. First, the Doppler radar signal, which is phase modulated by physiological motion, is captured and downconverted, and then the heartbeat and respiration rates are obtained by processing the baseband signal. The modulated back-scattered radar signal in the presence of high noise and interference is non-stationary with hidden periodicities, which cannot be detected by ordinary Fourier analysis. In this paper, we propose a cyclostationary approach for such signals and show that by using non-linear transformation and Fourier analysis of the radar signal, the hidden periodicities of heart and respiration information can be accurately obtained. Numerical and experimental results show that the vital signs can be extracted as cyclic frequencies, independent of SNR and without any filtering or phase unwrapping.

Original languageEnglish
Pages (from-to)79-88
Number of pages10
JournalBiomedical Signal Processing and Control
Volume13
Issue number1
DOIs
StatePublished - Sep 2014

Keywords

  • Cyclostationary
  • Doppler radar
  • Hidden periodicity
  • Non-Stationary signal
  • Phase modulation
  • Time varying statistical parameter

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