Quantification of posture induced changes in wearable seismocardiogram signals for heart failure patients

Abdul Q. Javaid, Sean Dowling, Mozziyar Etemadi, J. Alex Heller, Shuvo Roy, Liviu Klein, Omer T. Inan*

*Corresponding author for this work

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

2 Scopus citations

Abstract

Our goal is to characterize the effects of posture - supine, seated, and standing - on the seismocardiogram (SCG) signal for patients with heart failure (HF). Posture can (1) distort the SCG signal, for example due to altering the body's mechanical vibration response, and (2) affect a person's cardiovascular physiology, for example due to changes in venous return. This work focuses on characterizing the former, such that in future studies we can use the SCG to assess physiological changes in patients with HF at home. Our team has developed a circular patch (7 cm in diameter) which, when placed on the sternum, simultaneously measures the electrocardiogram (ECG) along with SCG signals in the dorso-ventral and head-to-foot directions. We recruited six HF patients thus far for this ongoing study. Each subject was asked to lie down in a supine position on a patient bed for 1 minute followed by 1 minute in each of the seated and standing postures. A novel algorithm was implemented to compare distortion in the shape of the SCG signals in the supine and seated postures as compared to the standing upright posture. The frequency domain analysis of the SCG signals revealed presence of high energy in bands greater than 8 Hz for supine and seated postures. Based on the findings of this paper, features can be derived to correct for posture related changes in the measured SCG signals for accurate assessment of patients with HF at home.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference, CinC 2016
EditorsAlan Murray
PublisherIEEE Computer Society
Pages777-780
Number of pages4
ISBN (Electronic)9781509008964
DOIs
StatePublished - Mar 1 2016
Event43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada
Duration: Sep 11 2016Sep 14 2016

Publication series

NameComputing in Cardiology
Volume43
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Other

Other43rd Computing in Cardiology Conference, CinC 2016
CountryCanada
CityVancouver
Period9/11/169/14/16

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine

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    Javaid, A. Q., Dowling, S., Etemadi, M., Heller, J. A., Roy, S., Klein, L., & Inan, O. T. (2016). Quantification of posture induced changes in wearable seismocardiogram signals for heart failure patients. In A. Murray (Ed.), Computing in Cardiology Conference, CinC 2016 (pp. 777-780). [7868858] (Computing in Cardiology; Vol. 43). IEEE Computer Society. https://doi.org/10.22489/cinc.2016.224-428