QRS loop folding phenomenon in vectorcardiogram of healthy individuals

Golriz Sedaghat, Muammar M. Kabir, Larisa G. Tereshchenko

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

Abstract

Recently, we developed a novel approach to study the rapid and sudden changes in the direction of ventricular activation called folding phenomenon. In order to better understand this phenomenon, we were interested in studying the variation of the orientation of QRSt for i=1... N where QRSt represents the QRS vector at the ith sample point. In this study, we described the orientation of the QRS vector and the rotation of its frame of reference in details in 81 healthy participants from the Intercity Digital Electrocardiogram Alliance (IDEAL) study using unit quaternions and Euler angles. We observed that the variance of the elevation of rotation axis u was significantly higher in men compared to women (1340±421 vs. 1063±381, P=0.003, respectively). Additionally, there was a significant negative correlation between the variance of the azimuth of u and height (CC=-0.26, P=0.019) while the elevation of u and height were significantly positively correlated (CC=0.24, P=0.034). Moreover, the elevation of u had a positive significant correlation with weight and body surface area (CC=0.22, P=0.045 and CC=0.26, P=0.020 respectively).

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference, CinC 2016
PublisherIEEE Computer Society
Pages645-648
Number of pages4
Volume43
ISBN (Electronic)9781509008964
StatePublished - Mar 1 2017
Event43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada
Duration: Sep 11 2016Sep 14 2016

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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  • Cite this

    Sedaghat, G., Kabir, M. M., & Tereshchenko, L. G. (2017). QRS loop folding phenomenon in vectorcardiogram of healthy individuals. In Computing in Cardiology Conference, CinC 2016 (Vol. 43, pp. 645-648). [7868825] IEEE Computer Society.