Quantitative analysis of ventricular late potentials in healthy subjects

Raineri, A; Traina, Marcello; Rotolo, Antonino; Lombardo, Renzo M

doi:10.1016/0002-9149(90)91168-6

Cited by 51 publications

(19 citation statements)

References 13 publications

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“…Although Koutlianos et al (21) have reported a significant correlation between HRV index and VO 2 max, to the best of our knowledge, the present study is the first to compare HRV parameters and high-frequency content of SAECG as predictors of VO 2 max in healthy sedentary subjects and athletes, and to show that the high-frequency content of the ventricular activation wavefront is an independent predictor of maximal oxygen consumption. The increase in VO 2 max caused by fitness results in a direct effect on ventricular mass (8,22,23) and increases ventricular activation voltage in the surface ECG (10,24). An increase in maximal aerobic power and myocardial mass is, therefore, expected to increase the total ventricular activation energy in SAECG.…”

Section: Discussionmentioning

confidence: 99%

“…The sample size used in the present study was calculated from numerical variables as described by Smith et al (6) and Raineri et al (10). From reference data, the sampling procedure was based on the difference of the 40-µV terminal (LAS40, ms) of at least 10 ms, with values of α = 0.05 and ß = 0.1, on the vector magnitude, filtered by a 4-pole bidirectional bandpass Butterworth filter with cut-off frequencies at 40 and 250 Hz, and using XYZ Frank orthogonal leads.…”

Section: Subjects Materials and Methodsmentioning

confidence: 99%

“…From reference data, the sampling procedure was based on the difference of the 40-µV terminal (LAS40, ms) of at least 10 ms, with values of α = 0.05 and ß = 0.1, on the vector magnitude, filtered by a 4-pole bidirectional bandpass Butterworth filter with cut-off frequencies at 40 and 250 Hz, and using XYZ Frank orthogonal leads. The subjects participating in the present study were slightly younger but had similar anthropometric characteristics and gender distribution as those in the studies used as reference in the sampling procedure (6,10). Inclusion criteria were volunteers over 18 and less than 40 years old, in good mental and physical health, without a previous history of cardiovascular disease or systemic arterial hypertension.…”

Section: Subjects Materials and Methodsmentioning

confidence: 99%

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The effect of an aerobic training program on the electrical remodeling of the heart: high-frequency components of the signal-averaged electrocardiogram are predictors of the maximal aerobic power

Marocolo¹,

Nadal²,

Benchimol-Barbosa³

2007

Braz J Med Biol Res

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Increased heart rate variability (HRV) and high-frequency content of the terminal region of the ventricular activation of signal-averaged ECG (SAECG) have been reported in athletes. The present study investigates HRV and SAECG parameters as predictors of maximal aerobic power (VO 2 max) in athletes. HRV, SAECG and VO 2 max were determined in 18 high-performance long-distance (25 ± 6 years; 17 males) runners 24 h after a training session. Clinical visits, ECG and VO 2 max determination were scheduled for all athletes during thew training period. A group of 18 untrained healthy volunteers matched for age, gender, and body surface area was included as controls. SAECG was acquired in the resting supine position for 15 min and processed to extract average RR interval (Mean-RR) and root mean squared standard deviation (RMSSD) of the difference of two consecutive normal RR intervals. SAECG variables analyzed in the vector magnitude with 40-250 Hz band-pass bi-directional filtering were: total and 40-µV terminal (LAS40) duration of ventricular activation, RMS voltage of total (RMST) and of the 40-ms terminal region of ventricular activation. Linear and multivariate stepwise logistic regressions oriented by inter-group comparisons were adjusted in significant variables in order to predict VO 2 max, with a P < 0.05 considered to be significant. VO 2 max correlated significantly (P < 0.05) with RMST (r = 0.77), Mean-RR (r = 0.62), RMSSD (r = 0.47), and LAS40 (r = -0.39). RMST was the independent predictor of VO 2 max. In athletes, HRV and high-frequency components of the SAECG correlate with VO 2 max and the high-frequency content of SAECG is an independent predictor of VO 2 max.

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Section: Discussionmentioning

confidence: 99%

Section: Subjects Materials and Methodsmentioning

confidence: 99%

Section: Subjects Materials and Methodsmentioning

confidence: 99%

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The effect of an aerobic training program on the electrical remodeling of the heart: high-frequency components of the signal-averaged electrocardiogram are predictors of the maximal aerobic power

Marocolo¹,

Nadal²,

Benchimol-Barbosa³

2007

Braz J Med Biol Res

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“…Previous reports suggest that the diagnostic criteria between normal and abnormal SAE values and the late potentials of QRS vary, depending on the equipment used and how the filters are set. However, according to these reports, values determined from a 95% confidence interval of normal subjects [3][4][5][6][7] or determined standard values for comparison of myocardial infarction patients with and without ventricular tachycardia [8][9][10] those criteria varied. The difference in RMS 20 caused by (F) and (B) filter direction was also observed in our study.…”

Section: Discussionmentioning

confidence: 99%

“…Danford, et al 3) and Yang, et al 7) reported a significant difference between the sexes in QRS waves SAE and proposed setting standard values for each sex. Raineri, et al 5) reported that the difference between the sexes could be corrected by adjusting for height. Yang, et al 7) reported a strong correlation between fQRS and body surface area.…”

Section: Discussionmentioning

confidence: 99%

Age and Sex Differences in the P-Wave Signal-Averaged Electrocardiogram in a Japanese Study Population.

et al. 2001

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SUMMARYNormal P wave signal-averaged electrocardiogram (SAE) values were determined in 120 healthy Japanese adults (56 men, 64 women), aged 44.5±10.2 years (mean±SD). The P wave trigger method was used with a Fukuda FDX6500 recorder. We used bipolar Weak positive correlations were observed between fPd (F) and body surface area, fPd (F) and age, fPd (B) and body surface area, fPd (B) and age, fPd (C) and body surface area, and fPd (C) and age. There was no evident correlation, however, between either forward or backward RMS 20 and body surface area or between forward or backward RMS 20 and age. Differences in the normal P wave values between the sexes and age groups were evaluated in this study. (Jpn Heart J 2001; 42: 295-305) Key words: Signal-averaged P wave electrocardiogram, Japanese, Sex, Age ATRIAL late potential studies of P wave recordings by signal-averaged electrocardiography (SAE) have recognized the utility for identifying patients at risk for paroxysmal atrial fibrillation (Paf) during sinus rhythm.1,2) With Paf, filtered P duration (fPd) is long, the last 20-ms root mean square voltage (RMS 20 ) is reported to be low, and the occurrence of Paf can be predicted by such values during sinus rhythm. However, there have been no reports of normal P wave SAE values in Japan.We conducted a study in healthy Japanese subjects to determine the normal value of P waves SAE and to investigate age and sex differences. We expected a From the

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Abnormal signal‐averaged electrocardiograms in patients with incomplete right bundle‐branch block

Manolis¹,

Chiladakis²,

Malakos³

et al. 1997

Clinical Cardiology

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SummaryBackground and hypothesis: A hypothesis was formulated that regional delayed activation of the right ventricle, as seen in incomplete right bundle-branch (IRBBB) aberrancy, may simulate late potential activity and may be responsible for abnormal signal-averaged electrocardiograms (SAECGs). No previous studies have specifically addressed this issue in this particular group of patients (with IRBBB). Therefore, the aim of the present study was to investigate the incidence of abnormal SAECGs in patients with IRBBB. If this were confiied, our purpose would further be to investigate ways of reducing the false positive results. M d w d s :The study group included 53 patients (28 men and 25 women), aged 53 k 13 years, with no history of previous myocardial infarction or ventricular tachycardia and who had an electrocardiogram (ECG) showing IRBBB. An SAECG was also performed in a control group of 19 age-matched individuals with a normal ECG. Time domain analysis was performed using a band pass filter of 4G250 Hz. The following parameters were considered normal: filtered QRS duration (QRSD) < 1 14 ms, root mean square of the voltage of the last 40 ms of the QRS complex (RMS) >20 pV, and the duration of the low amplitude signal (< 40 pV) at the terminal portion of

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Quantitative analysis of ventricular late potentials in healthy subjects

Cited by 51 publications

References 13 publications

The effect of an aerobic training program on the electrical remodeling of the heart: high-frequency components of the signal-averaged electrocardiogram are predictors of the maximal aerobic power

The effect of an aerobic training program on the electrical remodeling of the heart: high-frequency components of the signal-averaged electrocardiogram are predictors of the maximal aerobic power

Age and Sex Differences in the P-Wave Signal-Averaged Electrocardiogram in a Japanese Study Population.

Abnormal signal‐averaged electrocardiograms in patients with incomplete right bundle‐branch block

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