Resumen
System for reconstruction and visualization of cardiac electric activity, with high-resolution capabilities, improving the performance of current systems by means of the inclusion of the a priori information of the bioelectric problem in a learning algorithm, and by means of the the explotation of the spacial and temporal correlations thanks to interpolation and decimation subsystems. The system consists of, at least: a plurality of catheters ways for obtaining the location coordinates of said array ways for obtaining the cardiac walls geometry ways for processing the signals from the chatheters, inmplementing an algorithm based on Support Vector Machines, allowing the incorporation of the bioelectric phenomena ways of interpolation and redundance exploiting for yielding high resolution without matrix inversions and ways of visualization.