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The effects of 40 Hz low-pass filtering on the spatial QRS-T angle

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Abstract

The spatial QRS-T angle (SA) is a vector cardiographic (VCG) parameter that has been identified as a marker for changes in the ventricular depolarization and repolarization sequence. The SA is defined as the angle subtended by the mean QRS-vector and the mean T-vector of the VCG. The SA is typically obtained from VCG data that is derived from the resting 12-lead electrocardiogram (ECG). Resting 12-lead ECG data is commonly recorded using a low-pass filter with a cutoff frequency of 150 Hz. The ability of the SA to quantify changes in the ventricular depolarization and repolarization sequence make the SA potentially attractive in a number of different 12-lead ECG monitoring applications. However, the 12-lead ECG data that is obtained in such monitoring applications is typically recorded using a low-pass filter cutoff frequency of 40 Hz. The aim of this research was to quantify the differences between the SA computed using 40 Hz low-pass filtered ECG data (SA40) and the SA computed using 150 Hz low-pass filtered ECG data (SA150). We assessed the difference between the SA40 and the SA150 using a study population of 726 subjects. The differences between the SA40 and the SA150 were quantified as systematic error (mean difference) and random error (span of Bland-Altman 95% limits of agreement). The systematic error between the SA40 and the SA150 was found to be -0.126° [95% confidence interval: -0.146° to -0.107°]. The random error was quantified 1.045° [95% confidence interval: 0.917° to 1.189°]. The findings of this research suggest that it is possible to accurately determine the value of the SA when using 40 Hz low-pass filtered ECG data. This finding indicates that it is possible to record the SA in applications that require the utilization of 40 Hz low-pass ECG monitoring filters.

Original languageEnglish
Title of host publicationComputing in Cardiology Conference, CinC 2016
EditorsAlan Murray
PublisherIEEE Computer Society
Pages93-96
Number of pages4
ISBN (Electronic)9781509008964
DOIs
Publication statusPublished (in print/issue) - 14 Jun 2016
Event43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada
Duration: 11 Sept 201614 Sept 2016

Publication series

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

Conference

Conference43rd Computing in Cardiology Conference, CinC 2016
Country/TerritoryCanada
CityVancouver
Period11/09/1614/09/16

Bibliographical note

Publisher Copyright:
© 2016 CCAL.

Keywords

  • Spatial QRS-T Angle
  • ECG
  • VCG
  • Digital signal processing

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