ESTIMAÇÂO DA FREQUÊNCIA INSTANTANEA CARDIACA UTILIZANDO O MÉTODO EAR E WAVELETS

Abstract

The patient diagnosis can be made through a analysis of the cardiac variability that, being formed of nervous interactions, give the status of the vagal and sympathetic systems. The main measure to do this analysis is HRV, obtained by RR temporal differences or spectral methods. A major disadvantage we can find in the latter methods is a high sampling tax that yields in lost of information and high storage cost. New methods has been developed to minimize these incovenients, like HIF. This method have two steps: a driver function and a wavelet filter. The proposed algorithm is based on HIF using a auto regressive method as driver function and otimized parameters to the wavelet filter. The obtained results are very promissor and the estimation error is smaller than traditional methods one.