New approaches to the diagnosis of left and right ventricular hypertrophy by means of dipolar electrocardiotopography

Titomir, L. I.; Trunov, V. I.; Aidu, E.A.I.; Sakhnova, T A; Blinova, E V

doi:10.1016/j.jelectrocard.2007.03.430

Cited by 2 publications

(4 citation statements)

References 2 publications

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“…Our results are consistent with those of Titomir et al [34]. The difference lies in that they use normal approximation, whereas we use the Bayesian bootstrap technique.…”

Section: Real Data Analysessupporting

confidence: 92%

“…The grid points on [0, 1] are chosen at equal intervals of length 0.05.2. We also analyze the data sets published by Titomir et al[34] who proposed a new approach to detect the left and right ventricular hypertrophies (LVH and RVH). This study was based on 147 subjects with LVH, 60 subjects with RVH and 143 healthy subjects without hypertrophy.…”

mentioning

confidence: 99%

“…These measurements could be spatiotemporally related to the heart activation process. Titomir et al[34] defined the new measurements denoted as ILVH and LRVH for LVH and RVH, respectively, where ILVH = integral indices of activation duration for the left ventricles (IDLV) * (maximum depolarization vector and the QRS interval duration), IRVH = integral indices of activation duration for the right ventricles (IDRV) * (module of the vector with components equal to the waves R z and S x of the scalar vectorcardiographic curves). The new measurements ILVH and IRVH were compared with the sums of wave amplitudes, R x + S z and R z + S x for LVH and RVH, respectively.…”

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confidence: 99%

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Bayesian bootstrap estimation of ROC curve

Ghosal

Roy

2008

Statistics in Medicine

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Receiver operating characteristic (ROC) curve is widely applied in measuring discriminatory ability of diagnostic or prognostic tests. This makes the ROC analysis one of the most active research areas in medical statistics. Many parametric and semiparametric estimation methods have been proposed for estimating the ROC curve and its functionals. In this paper, we propose the Bayesian bootstrap (BB), a fully nonparametric estimation method, for the ROC curve and its functionals, such as the area under the curve (AUC). The BB method offers a bandwidth-free smoothing approach to the empirical estimate, and gives credible bounds. The accuracy of the estimate of the ROC curve in the simulation studies is examined by the integrated absolute error. In comparison with other existing curve estimation methods, the BB method performs well in terms of accuracy, robustness and simplicity. We also propose a procedure based on the BB approach to test the binormality assumption.

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“…Our results are consistent with those of Titomir et al [34]. The difference lies in that they use normal approximation, whereas we use the Bayesian bootstrap technique.…”

Section: Real Data Analysessupporting

confidence: 92%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Bayesian bootstrap estimation of ROC curve

Ghosal

Roy

2008

Statistics in Medicine

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“…There is no doubt that the most ordinary situations in the cardiological routine, such as absent or exaggerated R waves from V1 to V3, require a more sophisticated definition in this region that depicts many expressions of different pathologies. Therefore, in this region the ECG/VCG is capable of characterizing the presence of: 22-27 (Figures 5B, 6[A, B, C and D])…”

Section: Introductionmentioning

confidence: 99%

Applicability of the Electro-Vectorcardiogram in Current Clinical Practice

Pastore

Samesima

Filho

et al. 2019

Arquivos Brasileiros De Cardiologia

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The electrocardiogram (ECG) has been reinvigorated by the identification of electrical alterations that were not definitely clarified before. In this context, and mainly regarding the definition of arrhythmogenic substrates, the association of the ECG with the vectorcardiogram (VCG) has gathered much more information about the cardiac electrical phenomena, thus allowing us to differentiate potentially fatal cases from benign ones. Obtaining a VCG concomitantly with the performance of an ECG has led to a significant gain in the definition of extremely sophisticated pathologies, which function suffer some type of structural or dynamic alterations, involving either the reduction or enhancement of ionic channels and currents. The classic aspects of the ECG/VCG association in the differential diagnosis of myocardial infarctions, conduction disorders, atrial and ventricular hypertrophies, and the correlations between these electrical disorders are still valid and assertive. The association of these pathologies is further clarified when they are seen through the ECG/VCG dyad. The three-dimensional spatial orientation of both the atrial and the ventricular activity provides a far more complete observation tool than the ECG linear form. The modern analysis of the ECG and its respective VCG, simultaneously obtained by the recent technique called electro-vectorcardiogram (ECG/VCG), brought a significant gain for the differential diagnosis of some pathologies. Therefore, we illustrate how this type of analysis can elucidate some of the most important diagnoses found in our daily clinical practice as cardiologists.

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New approaches to the diagnosis of left and right ventricular hypertrophy by means of dipolar electrocardiotopography

Cited by 2 publications

References 2 publications

Bayesian bootstrap estimation of ROC curve

Bayesian bootstrap estimation of ROC curve

Applicability of the Electro-Vectorcardiogram in Current Clinical Practice

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