Uncertainty Principle of Signal-Averaged Electrocardiography

Goldberger, Jeffrey J.; Challapalli, Sridevi; Waligora, Michael; Kadish, Alan H.; Johnson, David A.; Ahmed, Mirza W.; Inbar, Shmuel

doi:10.1161/01.cir.101.25.2909

Cited by 42 publications

(23 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, the morphology and the location of VLPs, as well as the parameters employed in signal acquisition and processing, even when standardized (Breithard et al, 1991), influence the precision and the accuracy of QRS complex end points (QRS offset) estimation. A residual variability in QRS duration in successively performed exams is, thus, observed in the same patient (Goldberger et al, 2000). Notwithstanding, the duration of the QRS complex is the most important index for the risk stratification of ventricular arrhythmia (Uijen et al, 1979;Korhonen et al, 2006;Marcus et al, 2010).…”

Section: Introductionmentioning

confidence: 78%

“…The classic theory, proposed by Uijen et al (1979) establishes that the variability of any point along the QRS complex, identified by a threshold detector level, will be directly proportional to RNL and inversely proportional to the first derivative at the detection point. On its turn, the uncertainty principle applied to HRECG (Goldberger et al, 2000) states that the lower RNL, the higher the variability (uncertainty) in the estimated QRS offset in successive independently processed HRECG signals.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have been carried out to investigate the effect of the RNL on the variability of measured indexes and/or the presence of VLP clinically relevant (Steinberg et al, 1989;Sager et al, 1991;Christiansen et al, 1996;Goldberger et al, 2000;Bragge et al, 2005;Frances, 2010). However, those studies are scarce in examining the relationship among acquisition protocol, signal-processing parameters and fiducial point variability in computationally simulated and human biological signals.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unveiling the uncertainty principle in the QRS complex offset detection on high resolution electrocardiography

Nasario-Junior

Benchimol-Barbosa²,

Nadal³

2011

RBEB

View full text Add to dashboard Cite

The accuracy of high resolution electrocardiographic (HRECG) methods for stratifying the risk of malignant ventricular arrhythmia depends on the fidelity of QRS fiducial points detection. This study aims at examining the effect of acquisition and processing variables in HRECG on the variability of QRS complex offset (QRS offset) detection in simulated and biological signals, as well as investigating the factors related to the so called uncertainty principle applied to HRECG. Successive QRS offset locations were calculated in different signals configurations including HRECG data from patients with and without ventricular late potentials and simulated data using linear and exponential functions. The expected error in QRS offset detection was assessed as a function of: i) signal characteristics (Simulated or Biological); ii) Sampling Frequency (SF); iii) Residual Noise Level (RNL); iv) QRS maximum amplitudes. The uncertainty principle was related to HRECG and a given exponential signals, and increasing RNL up to 0.5 µV. SF and RNL are outstanding factors influencing QRS offset variability. Thus, HRECG related uncertainty principle is a deterministic phenomenon associated with both HRECG signal and mathematical formulation of the terminal decay of the QRS complex to the fusion with the ST segment.Keywords High resolution electrocardiogram, Variability of QRS complex offset, Uncertainty principle. Desvendando o princípio da incerteza na detecção do final do complexo QRS na eletrocardiografia de alta resolução Resumo A precisão dos resultados dos exames de eletrocardiografia de alta resolução (ECGAR) para estratificação do desenvolvimento de arritmias ventriculares malignas depende da fidelidade na detecção dos pontos fiduciais do complexo QRS. O presente estudo tem o objetivo de avaliar o efeito das variáveis de aquisição e processamento do ECGAR sobre a variabilidade da detecção do ponto final do complexo QRS (QRS-fim

show abstract

Section: Introductionmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Unveiling the uncertainty principle in the QRS complex offset detection on high resolution electrocardiography

Nasario-Junior

Benchimol-Barbosa²,

Nadal³

2011

RBEB

View full text Add to dashboard Cite

show abstract

“…In the upper part of fig. 5 we have plotted to series describing the fluctuations of walk rhythm of a young healthy person, for slow pace (bottom series of 3304 points) and fast pace (up series of 3595 points) respectively (data available in www.physionet.org/physiobank/database/umwdb/ (Goldberger et al, 2000)). In the bottom part we have represented the degree distribution of their visibility graphs.…”

Section: Estimating the Hurst Exponent With Nvgmentioning

confidence: 99%

Visibility Algorithms: A Short Review

Núñez¹,

Lacasa²,

Gómez³

et al. 2012

New Frontiers in Graph Theory

View full text Add to dashboard Cite

“…The authors proposed the validation of the BiSpec, but did not perform clinical comparisons of the diagnostic results of the two filters using control groups. Recently, Goldberger et al (10) reported that paired differences of filtered QRS duration between the BiSpec and Butterworth bidirectional filters were not statistically significant, although there was a high variance of paired difference of the filters' output at 61.1 ms (2).…”

Section: Introductionmentioning

confidence: 99%

Clinical assessment of the effect of digital filtering on the detection of ventricular late potentials

Benchimol-Barbosa

Barbosa

Bomfim

et al. 2002

Braz J Med Biol Res

View full text Add to dashboard Cite

Ventricular late potentials are low-amplitude signals originating from damaged myocardium and detected on the body surface by ECG filtering and averaging. Digital filters present in commercial equipment may interfere with the ability of arrhythmia stratification. We compared 40-Hz BiSpec (BI) and classical 40-to 250-Hz band-pass Butterworth bidirectional (BD) filters in terms of impact on time domain variables and diagnostic properties. In a transverse retrospective age-adjusted case-control study, 221 subjects with sinus rhythm without bundle branch block were divided into three groups after signal-averaged ECG acquisition: GI (N = 40), clinically normal controls, GII (N = 158), subjects with coronary heart disease without sustained monomorphic ventricular tachycardia (SMVT), and GIII (N = 23), subjects with heart disease and documented SMVT. Conventional variables analyzed from vector magnitude data after averaging to 0.3 µV final noise were obtained by application of each filter to the averaged signal, and evaluated in pairs by numerical comparison and by diagnostic agreement assessment, using conventional and optimized thresholds of normality. Significant differences were found between BI and BD variables in all groups, with diagnostic results showing significant disagreement between both filters [kappa value of 0.61 (P<0.05) for GII and 0.31 for GIII (P = NS)]. Sensitivity for SMVT was lower with BI than with BD (65.2 vs 91.3%, respectively, P<0.05). Filters provided significantly different numerical and diagnostic results and the BI filter showed only limited clinical application to risk stratification of ventricular arrhythmia. Correspondence

show abstract

Uncertainty Principle of Signal-Averaged Electrocardiography

Cited by 42 publications

References 14 publications

Unveiling the uncertainty principle in the QRS complex offset detection on high resolution electrocardiography

Unveiling the uncertainty principle in the QRS complex offset detection on high resolution electrocardiography

Visibility Algorithms: A Short Review

Clinical assessment of the effect of digital filtering on the detection of ventricular late potentials

Contact Info

Product

Resources

About