Detection of late potentials in patients with and without myocardial infarction. (IV) Passband analysis

DE Balderson, OJ Escalona, RH Mitchell, DWR Harron

Research output: Contribution to journalArticle

Abstract

The presence of ventricular late potentials in patients is regarded as a prognostic indicator of a sudden and possibly fatal arrhythmic event. Ventricular late potentials can be identified in both the Time and Frequency domain methods. The present study investigated the frequency range over which late potentials are suggested to exist within the frequency spectra, using the frequency domain method. Fast Fourier Transformation of the signal-averaged surface ECG was performed in subjects with and without a prior myocardial infarction, looking specifically at 14 different passbands. Areas and Area Ratios for the X, Y and Z leads were calculated separately and then combined (averaged X, Y and Z). Discriminant analysis was performed on the Area and Area Ratio data to identify which passband provided optimum separation (`Predictiveness') of those subjects with and without ventricular late potentials (as defined by the time domain method). Following discriminant analysis the results indicated that the Area data consistently provided better `true predictions' than the Area Ratio data for the discriminant analysis for all leads whether individual or combined (87.1, 91.8, 89.6 and 88.1% vs 68.1, 77.0, 49.6 and 62.9% for Area and Area Ratio for the X, Y, Z and combined leads respectively). For the Area data the best passband was 85-105 Hz for the X lead (90.3%) compared to 65-95 Hz/25-120 Hz for the X lead (77.0%) of the Area Ratio data. In conclusion: a) normalization of data provided less discrimination, b) a greater frequency content was evident in subjects with late potentials at higher frequency passbands, c) individual leads and not combined leads could provide greater discrimination between subjects.
LanguageEnglish
Pages13-21
JournalAutomedica
Volume16
Issue number1-2
Publication statusPublished - 15 Jan 1994

Fingerprint

Discriminant Analysis
Discriminant analysis
Myocardial Infarction
Lead
Electrocardiography

Keywords

  • Bandpass filters
  • Cardiovascular system
  • Electrocardiography
  • Electrophysiology
  • Fast Fourier transforms
  • Frequency domain analysis
  • Living systems studies
  • Parameter estimation
  • Patient monitoring
  • Time domain analysis
  • Fatal arrhythmic event
  • Myocardial infarction
  • Passband analysis
  • Prognostic indicator
  • Ventricular late potentials
  • Bioelectric potentials

Cite this

Balderson, DE ; Escalona, OJ ; Mitchell, RH ; Harron, DWR. / Detection of late potentials in patients with and without myocardial infarction. (IV) Passband analysis. 1994 ; Vol. 16, No. 1-2. pp. 13-21.
@article{0099d3c9c013487ca5430e0220c9e92c,
title = "Detection of late potentials in patients with and without myocardial infarction. (IV) Passband analysis",
abstract = "The presence of ventricular late potentials in patients is regarded as a prognostic indicator of a sudden and possibly fatal arrhythmic event. Ventricular late potentials can be identified in both the Time and Frequency domain methods. The present study investigated the frequency range over which late potentials are suggested to exist within the frequency spectra, using the frequency domain method. Fast Fourier Transformation of the signal-averaged surface ECG was performed in subjects with and without a prior myocardial infarction, looking specifically at 14 different passbands. Areas and Area Ratios for the X, Y and Z leads were calculated separately and then combined (averaged X, Y and Z). Discriminant analysis was performed on the Area and Area Ratio data to identify which passband provided optimum separation (`Predictiveness') of those subjects with and without ventricular late potentials (as defined by the time domain method). Following discriminant analysis the results indicated that the Area data consistently provided better `true predictions' than the Area Ratio data for the discriminant analysis for all leads whether individual or combined (87.1, 91.8, 89.6 and 88.1{\%} vs 68.1, 77.0, 49.6 and 62.9{\%} for Area and Area Ratio for the X, Y, Z and combined leads respectively). For the Area data the best passband was 85-105 Hz for the X lead (90.3{\%}) compared to 65-95 Hz/25-120 Hz for the X lead (77.0{\%}) of the Area Ratio data. In conclusion: a) normalization of data provided less discrimination, b) a greater frequency content was evident in subjects with late potentials at higher frequency passbands, c) individual leads and not combined leads could provide greater discrimination between subjects.",
keywords = "Bandpass filters, Cardiovascular system, Electrocardiography, Electrophysiology, Fast Fourier transforms, Frequency domain analysis, Living systems studies, Parameter estimation, Patient monitoring, Time domain analysis, Fatal arrhythmic event, Myocardial infarction, Passband analysis, Prognostic indicator, Ventricular late potentials, Bioelectric potentials",
author = "DE Balderson and OJ Escalona and RH Mitchell and DWR Harron",
year = "1994",
month = "1",
day = "15",
language = "English",
volume = "16",
pages = "13--21",
number = "1-2",

}

Balderson, DE, Escalona, OJ, Mitchell, RH & Harron, DWR 1994, 'Detection of late potentials in patients with and without myocardial infarction. (IV) Passband analysis', vol. 16, no. 1-2, pp. 13-21.

Detection of late potentials in patients with and without myocardial infarction. (IV) Passband analysis. / Balderson, DE; Escalona, OJ; Mitchell, RH; Harron, DWR.

Vol. 16, No. 1-2, 15.01.1994, p. 13-21.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Detection of late potentials in patients with and without myocardial infarction. (IV) Passband analysis

AU - Balderson, DE

AU - Escalona, OJ

AU - Mitchell, RH

AU - Harron, DWR

PY - 1994/1/15

Y1 - 1994/1/15

N2 - The presence of ventricular late potentials in patients is regarded as a prognostic indicator of a sudden and possibly fatal arrhythmic event. Ventricular late potentials can be identified in both the Time and Frequency domain methods. The present study investigated the frequency range over which late potentials are suggested to exist within the frequency spectra, using the frequency domain method. Fast Fourier Transformation of the signal-averaged surface ECG was performed in subjects with and without a prior myocardial infarction, looking specifically at 14 different passbands. Areas and Area Ratios for the X, Y and Z leads were calculated separately and then combined (averaged X, Y and Z). Discriminant analysis was performed on the Area and Area Ratio data to identify which passband provided optimum separation (`Predictiveness') of those subjects with and without ventricular late potentials (as defined by the time domain method). Following discriminant analysis the results indicated that the Area data consistently provided better `true predictions' than the Area Ratio data for the discriminant analysis for all leads whether individual or combined (87.1, 91.8, 89.6 and 88.1% vs 68.1, 77.0, 49.6 and 62.9% for Area and Area Ratio for the X, Y, Z and combined leads respectively). For the Area data the best passband was 85-105 Hz for the X lead (90.3%) compared to 65-95 Hz/25-120 Hz for the X lead (77.0%) of the Area Ratio data. In conclusion: a) normalization of data provided less discrimination, b) a greater frequency content was evident in subjects with late potentials at higher frequency passbands, c) individual leads and not combined leads could provide greater discrimination between subjects.

AB - The presence of ventricular late potentials in patients is regarded as a prognostic indicator of a sudden and possibly fatal arrhythmic event. Ventricular late potentials can be identified in both the Time and Frequency domain methods. The present study investigated the frequency range over which late potentials are suggested to exist within the frequency spectra, using the frequency domain method. Fast Fourier Transformation of the signal-averaged surface ECG was performed in subjects with and without a prior myocardial infarction, looking specifically at 14 different passbands. Areas and Area Ratios for the X, Y and Z leads were calculated separately and then combined (averaged X, Y and Z). Discriminant analysis was performed on the Area and Area Ratio data to identify which passband provided optimum separation (`Predictiveness') of those subjects with and without ventricular late potentials (as defined by the time domain method). Following discriminant analysis the results indicated that the Area data consistently provided better `true predictions' than the Area Ratio data for the discriminant analysis for all leads whether individual or combined (87.1, 91.8, 89.6 and 88.1% vs 68.1, 77.0, 49.6 and 62.9% for Area and Area Ratio for the X, Y, Z and combined leads respectively). For the Area data the best passband was 85-105 Hz for the X lead (90.3%) compared to 65-95 Hz/25-120 Hz for the X lead (77.0%) of the Area Ratio data. In conclusion: a) normalization of data provided less discrimination, b) a greater frequency content was evident in subjects with late potentials at higher frequency passbands, c) individual leads and not combined leads could provide greater discrimination between subjects.

KW - Bandpass filters

KW - Cardiovascular system

KW - Electrocardiography

KW - Electrophysiology

KW - Fast Fourier transforms

KW - Frequency domain analysis

KW - Living systems studies

KW - Parameter estimation

KW - Patient monitoring

KW - Time domain analysis

KW - Fatal arrhythmic event

KW - Myocardial infarction

KW - Passband analysis

KW - Prognostic indicator

KW - Ventricular late potentials

KW - Bioelectric potentials

UR - https://www.scopus.com/source/sourceInfo.url?sourceId=34541&origin=resultslist

M3 - Article

VL - 16

SP - 13

EP - 21

IS - 1-2

ER -