A signal decomposition approach to morphological modeling of P wave

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, Bezier, B-spline, and Gaussian basis functions.