New model of temporal representation of an electrocardiogram signal using Gaussian generalized 6

摘要

The method described is in the field of biomu00c9dica, in particular of the medical instrument for diagnosis of diseases of the cardiac forum for analysis of electrocardiogram.Is the automatic identification of periods cardu00cdacos (stage of segmentau00c7u00c3o) and, in each period, in the description of several complex polarizau00c7u00c3o and despolarizau00c7u00c3o membranes of heart muscle with 6 (six) generalized Gaussian.Each complex is described by a Gaussian generalized that it is defined by four (4): location in temporal (media), amplitude, inclinau00c7u00c3o and openness (deviation pattern in a simple caussiana).This identification is a model of the cardiac rate and allows to considerably reduce the dimension of the space of representation of the fenu00d3meno, very important step in the optimizau00c7u00c3o system (algoritmu00cda) clinical identification automatic recognition standards and P. Ermite an extremely high compression of the signal in time.The method also allows a filtering of the signal reconstruction, thus facilitating the clinical observation.