Heart Rate Extraction with VMD Algorithm in Non-Stationary Clutter Environment Based on FMCW Radar Systems

Kuan Ju Wu, Chin Lung Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a variational mode decomposition (VMD)-based heart rate extraction algorithm to extract heart rate of the target under intermittent interference of non-stationary clutters caused by another person. When nonstationary clutters exist around the interested target, the heart rate detection becomes difficult for FMCW radars. In regard to the situation, VMD is utilized to extract the heartbeat signal and suppress the effect of non-stationary clutters after applying filter preprocessing. This approach is compared to other methods based on ensemble empirical mode decomposition (EEMD) and traditional fast Fourier transform (FFT). As a result, the proposed algorithm can achieve low computational load and high accuracy of heart rate extraction with relative error of 1.7%. The heartbeat signal extracted by the proposed algorithm has signal-to-noise ratio (SNR) improvement of 2.4 dB compared with EEMD algorithm.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665433914
DOIs
Publication statusPublished - 2021 Aug 25
Event2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021 - Hualien, Taiwan
Duration: 2021 Aug 252021 Aug 27

Publication series

Name2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021

Conference

Conference2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
Country/TerritoryTaiwan
CityHualien
Period21-08-2521-08-27

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation

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