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Non-contact estimation of breathing parameters based on CW radar

EasyChair Preprint no. 7732

5 pagesDate: April 6, 2022


The present paper addresses the problem of contactless respiration monitoring system realization based on continuous wave radar (CWR). The developed system is composed of two parts, hardware and software parts. In hardware part, the main purpose is to realize a CWR by using low cost components. The software part is dedicated to develop algorithms for drawing the breathing rhythm and estimating the respiration frequency. Firstly, the received signal is processed and its phase is exploited in the estimation of the respiratory rhythm. Secondly, the respiratory frequency is estimated based on either the periodogram method, the autocorrelation method or on the combination of both methods. Numerical simulation, together with an experimental study have shown the efficiency of the proposed solution in estimating the respiratory rhythm and frequency.

Keyphrases: Autocorrelation, Breathing Frequency, Breathing rhythm, CW Radar, Periodogram, phase unwrapping

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Hamidou Ghilassi and Nacerredine Lassami and Ammar Mesloub},
  title = {Non-contact estimation of breathing parameters based on CW radar},
  howpublished = {EasyChair Preprint no. 7732},

  year = {EasyChair, 2022}}
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