Vital Signs Detection Using FMCW Radar

Aaron Tekleab, Mihai Sanduleanu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Non-contact vital signs monitoring has recently attracted the interest of several research sectors such as medicine, signal processing, agriculture, etc. Several radar sensors with unique features have been put forward. Various algorithms have also been developed. In this paper, an algorithm that deploys filtering, compressed sensing (CS), and wavelet decomposition is proposed. For validation, a publicly available dataset that was recorded using a frequency-modulated continuous wave (FMCW) radar was used. The results of the algorithm are then compared to a dataset recorded by a clinically approved vital sign monitoring sensor that was synchronized with the FMCW radar sensor during data acquisition.

Original languageBritish English
Title of host publication2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-54
Number of pages4
ISBN (Electronic)9781665456005
DOIs
StatePublished - 2022
Event2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022 - Ras Al Khaimah, United Arab Emirates
Duration: 23 Nov 202225 Nov 2022

Publication series

Name2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022

Conference

Conference2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022
Country/TerritoryUnited Arab Emirates
CityRas Al Khaimah
Period23/11/2225/11/22

Keywords

  • CS
  • Fast Fourier Transform (FFT)
  • FMCWradar
  • Intermediate frequency (IF)
  • Vital signs
  • Wavelet decomposition

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