Movement-immune respiration monitoring using automatic DC-correction algorithm for CW Doppler radar system

Yiran Li, Guochao Wang, Changzhan Gu, Changzhi Li

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

4 Scopus citations

Abstract

Doppler radar has the capability to remotely monitor human respiration. However, in real applications random body movements during measurement will cause drift of "DC" level in the experiment results. Also, the dc level will shift slowly with the temperature change of the radar circuit. Those DC drifts will cause inaccurate measurement results. To solve the dc drift issue during the experiments, an automatic DC-correction algorithm is developed. Experiment results show that this algorithm eliminates undesirable DC drifts and offset while recovering useful information of the original respiration signal. It is able to provide reliable respiration measurement even if there are large body movements that otherwise overwhelm the desired signal.

Original languageEnglish
Title of host publicationBioWireleSS 2014 - Proceedings
Subtitle of host publication2014 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems
PublisherIEEE Computer Society
Pages7-9
Number of pages3
ISBN (Print)9781479923168
DOIs
StatePublished - 2014
Event2014 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2014 - Newport Beach, CA, United States
Duration: Jan 19 2014Jan 23 2014

Publication series

NameBioWireleSS 2014 - Proceedings: 2014 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems

Conference

Conference2014 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2014
CountryUnited States
CityNewport Beach, CA
Period01/19/1401/23/14

Keywords

  • DC offset
  • DC shift
  • DC-coupled CW radar
  • Respiration measurement
  • Spectrogram

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