The effects of 40 Hz low-pass filtering on the Spatial QRS-T Angle

Daniel Guldenring, Dewar Finlay, RR Bond, Alan Kennedy, James McLaughlin, Kieran Moran

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

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 form 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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages4
Publication statusAccepted/In press - 14 Jun 2016
EventComputing in Cardiology 2016 - Vancouver, Canada
Duration: 14 Jun 2016 → …

Conference

ConferenceComputing in Cardiology 2016
Period14/06/16 → …

Fingerprint

Electrocardiography
Lead
Random errors
Systematic errors
Depolarization
Low pass filters
Cutoff frequency
Monitoring

Keywords

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

Cite this

Guldenring, D., Finlay, D., Bond, RR., Kennedy, A., McLaughlin, J., & Moran, K. (Accepted/In press). The effects of 40 Hz low-pass filtering on the Spatial QRS-T Angle. In Unknown Host Publication
Guldenring, Daniel ; Finlay, Dewar ; Bond, RR ; Kennedy, Alan ; McLaughlin, James ; Moran, Kieran. / The effects of 40 Hz low-pass filtering on the Spatial QRS-T Angle. Unknown Host Publication. 2016.
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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 form 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.",
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Guldenring, D, Finlay, D, Bond, RR, Kennedy, A, McLaughlin, J & Moran, K 2016, The effects of 40 Hz low-pass filtering on the Spatial QRS-T Angle. in Unknown Host Publication. Computing in Cardiology 2016, 14/06/16.

The effects of 40 Hz low-pass filtering on the Spatial QRS-T Angle. / Guldenring, Daniel; Finlay, Dewar; Bond, RR; Kennedy, Alan; McLaughlin, James; Moran, Kieran.

Unknown Host Publication. 2016.

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

TY - GEN

T1 - The effects of 40 Hz low-pass filtering on the Spatial QRS-T Angle

AU - Guldenring, Daniel

AU - Finlay, Dewar

AU - Bond, RR

AU - Kennedy, Alan

AU - McLaughlin, James

AU - Moran, Kieran

PY - 2016/6/14

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N2 - 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 form 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.

AB - 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 form 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.

KW - Spatial QRS-T Angle

KW - ECG

KW - VCG

KW - Digital signal processing

M3 - Conference contribution

BT - Unknown Host Publication

ER -

Guldenring D, Finlay D, Bond RR, Kennedy A, McLaughlin J, Moran K. The effects of 40 Hz low-pass filtering on the Spatial QRS-T Angle. In Unknown Host Publication. 2016