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 language | English |
|---|---|
| Title of host publication | Computing in Cardiology Conference, CinC 2016 |
| Editors | Alan Murray |
| Publisher | IEEE Computer Society |
| Pages | 93-96 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509008964 |
| DOIs | |
| Publication status | Published (in print/issue) - 14 Jun 2016 |
| Event | 43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada Duration: 11 Sept 2016 → 14 Sept 2016 |
Publication series
| Name | Computing in Cardiology |
|---|---|
| Volume | 43 |
| ISSN (Print) | 2325-8861 |
| ISSN (Electronic) | 2325-887X |
Conference
| Conference | 43rd Computing in Cardiology Conference, CinC 2016 |
|---|---|
| Country/Territory | Canada |
| City | Vancouver |
| Period | 11/09/16 → 14/09/16 |
Bibliographical note
Publisher Copyright:© 2016 CCAL.
Keywords
- Spatial QRS-T Angle
- ECG
- VCG
- Digital signal processing
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Dive into the research topics of 'The effects of 40 Hz low-pass filtering on the spatial QRS-T angle'. Together they form a unique fingerprint.Student theses
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Automated computerised detection of atrial fibrillation from the electrocardiogram
Kennedy, A. (Author), McLaughlin, J. (Supervisor), Aug 2017Student thesis: Doctoral Thesis
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