Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter

Tarig Ahmed*, Redmond B. Shouldice, Conor Heneghan, Anding Zhu

*Corresponding author for this work

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

12 Scopus citations

Abstract

In this paper, a non-contact method for human breathing rate estimation is discussed. The method utilises SleepMinder technology, which implements a radio-frequency Doppler radar system to capture physiological movements of the body in the form of phase modulation. To determine the breathing rate, the signals are down-converted and the baseband signals are processed. Previously reported methods used the conventional periodogram approach to estimate the breathing rate. A downside of the periodogram method is its limited capability in capturing respiration dynamics. The adaptive notch filter approach, discussed herein, provides a better respiration rate tracking performance than the periodogram approach, as demonstrated by the experimental results presented in this paper.

Original languageEnglish (US)
Title of host publicationRWW 2012 - Proceedings
Subtitle of host publication2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012
Pages5-8
Number of pages4
DOIs
StatePublished - May 9 2012
Event2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012 - Santa Clara, CA, United States
Duration: Jan 15 2012Jan 18 2012

Publication series

NameRWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012

Other

Other2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012
CountryUnited States
CitySanta Clara, CA
Period01/15/1201/18/12

Keywords

  • Breathing rate estimation
  • IIR notch filter
  • adaptive filter
  • frequency tracking
  • non-contact
  • non-invasive
  • periodogram

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Biomedical Engineering

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