Body movement cancellation using adaptive filtering technology for radar-based vital sign monitoring

Li Zhang, Chuanwei Ding, Xudong Zhou, Hong Hong, Changzhi Li, Xiaohua Zhu

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

Abstract

Noise due to body movement is a critical challenge for noncontact vital signs detection. This paper presents an adaptive filter-based body movement cancellation solution that does not require any hardware modification to a conventional continuous-wave (CW) Doppler biomedical radar. When a body movement is detected, the recently detected segments without body movement is used as the reference to process the segment corrupted by body movement with an adaptive filter. The result suggests that the proposed method can reduce the impact of body movement on vital signs monitoring,

Original languageEnglish
Title of host publication2020 IEEE Radar Conference, RadarConf 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728189420
DOIs
StatePublished - Sep 21 2020
Event2020 IEEE Radar Conference, RadarConf 2020 - Florence, Italy
Duration: Sep 21 2020Sep 25 2020

Publication series

NameIEEE National Radar Conference - Proceedings
Volume2020-September
ISSN (Print)1097-5659

Conference

Conference2020 IEEE Radar Conference, RadarConf 2020
CountryItaly
CityFlorence
Period09/21/2009/25/20

Keywords

  • Doppler radar
  • adaptive filter
  • body movement cancellation
  • vital signs

Fingerprint Dive into the research topics of 'Body movement cancellation using adaptive filtering technology for radar-based vital sign monitoring'. Together they form a unique fingerprint.

Cite this