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Morphological modelling of electrocardiographical P-waves could simplify the detection of signals' morphological features employed in risk stratification. We compared four different approaches, based on signal decomposition, for morphological modeling of signal-averaged P waves. The functional models included: trigonometric, Bézier, B-spline, and Gaussian basis functions.
We present a proof-of-concept of a medical data format for storing and retrieving 12-lead, 10-second standard electrocardiograms (ECG). The new format combines a digital ECG record into a standard graphical report (PDF).
Average cardiac acceleration (AC) and deceleration (DC) capacity, as computed by Phase-Rectified Signal Averaging (PRSA), were introduced to detect quasi-periodic oscillations in RR series. Calculation of AC and DC depends on three parameters (T, L and s). The aim of the study was to provide further insights on AC/DC and on the appropriate selection of these parameters.
A physiological spatial heterogeneity of ventricular repolarization (SHVR) is responsible for the T-wave on the ECG. However, an increased SHVR might favor the development of ventricular arrhythmias. The ν-index is a metric introduced with the aim of assessing SHVR from ECG.
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