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

Guldenring, Daniel, Finlay, Dewar D., Bond, Raymond R., Kennedy, Alan, McLaughlin, James and Moran, Kieran orcid logoORCID: 0000-0003-2015-8967 (2017) The effects of 40 Hz low-pass filtering on the spatial QRS-T angle. In: Computing in Cardiology 2016, 11-14 Sept 2016, Vancouver, Canada. ISBN ESSN 2325-887X

Abstract
The spatial QRS-T angle (SA) is a vectorcardiographic (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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Low-pass filters; Electrocardiography; Monitoring; IIR filters; Passband; Sociology; Statistics
Subjects:Medical Sciences > Sports sciences
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Computing in Cardiology Conference (CinC), 2016. . IEEE. ISBN ESSN 2325-887X
Publisher:IEEE
Official URL:http://ieeexplore.ieee.org/document/7868687/
Copyright Information:© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Horizon 2020 Programme (Call H2020-PHC-2014, Grant no. 643491)
ID Code:21921
Deposited On:16 Aug 2017 13:20 by Giulia Migliorato . Last Modified 26 May 2022 13:29
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