Inverse problem in geometrical modeling of the sources of medical signals

Some applications of geometrical modeling for biomedical signal processing are discussed. A new model of the heart nervous conductive system, used previously for the direct electrogram problem, is used now to solve the inverse problem. Geometrical modeling can give an approximate estimation of the source position and strength, even if the available amount of data is not sufficient for a correct mathematical solution. It can be useful in ECG and EEG inverse problems as well as in creating a model of human torso with non-uniform conductivity.