Paulo Roberto Benchimol-Barbosa

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This paper proposes a technique to improve the quality of high-resolution electrocardiogram by weighting the coherent average of beats by a function of the energy of the corrupting myoelectric noise, prior to subsequent detection of ventricular late potentials. The results obtained with 20 patients indicate the method requires fewer beats than conventional(More)
BACKGROUND The athlete's heart represents a reversible structural and functional adaptations of myocardial tissue developed through physical conditioning. Surface electrocardiogram (ECG) has the capability to detect myocardial hypertrophy but has limited performance in monitoring physical conditioning-induced myocardial remodeling. The aim of this study was(More)
BACKGROUND In chronic Chagas disease (ChD), impairment of cardiac autonomic function bears prognostic implications. Phase‑rectification of RR-interval series isolates the sympathetic, acceleration phase (AC) and parasympathetic, deceleration phase (DC) influences on cardiac autonomic modulation. OBJECTIVE This study investigated heart rate variability(More)
The accuracy of high resolution electrocardiogram (HRECG) as a risk stratification tool relies on QRS offset detection, which is subject to variation due to signal residual noise level (RNL). This study proposed a technique for improving the accuracy of QRS offset detection, based on successive signal derivation (DER) and compared to the standard method(More)
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