Motion noise cancellation in seismocardiographic monitoring of moving subjects

Chenxi Yang, Negar Tavassolian

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

14 Scopus citations

Abstract

This paper presents a novel method of extracting seismocardiographic data from moving adult subjects using chest-worn wireless MEMS accelerometers. A DSP system including a normalized LMS adaptive filter is designed and tested in MATLAB. Data results from 11 subjects indicate a detection rate of 97.33% and a high correlation between SCG and ECG signals simultaneously acquired. The results suggest that adaptive filtering could be a relevant technique for this purpose.

Original languageEnglish
Title of host publicationIEEE Biomedical Circuits and Systems Conference
Subtitle of host publicationEngineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
ISBN (Electronic)9781479972333
DOIs
StatePublished - 4 Dec 2015
Event11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015 - Atlanta, United States
Duration: 22 Oct 201524 Oct 2015

Publication series

NameIEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings

Conference

Conference11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
Country/TerritoryUnited States
CityAtlanta
Period22/10/1524/10/15

Keywords

  • Adaptive filtering
  • LMS
  • MEMS accelerometer
  • motion cancellation
  • seismocardiography (SCG)

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