An error study on some digital interpolation kernels for body surface potential maps

The aim of the present work is to evaluate the error of some interpolation kernels applied to a body surface potential map. A short state-of-the art on the mapping technique and some cubic interpolation kernels used to improve the information obtained from the measured potential maps are presented. Further, three data maps are used to evaluate performances of those interpolation kernels. According to the mean absolute error, Cubic Lagrange interpolation method leads to the most accurate results.