A three step algorithm based on biorthogonal wavelets for an intelligent cardiac remote monitoring system

Actual progress in technology enables a powerful development of remote monitoring systems. A useful application deals with the prevention of cardiac illnesses, one of the most common health problems nowadays. A wavelet based algorithm using biorthogonal mother wavelets is presented in this paper, which proposes methods for three important steps to be incorporated in a remote monitoring system for cardiac illnesses: baseline correction, denoising and compression of electrocardiograms. For each composing step the parameters might be pre-selected, so as to optimize the performances. The results are evaluated using several biorthogonal mother wavelets families and the simulation performances are displayed considering noisy input data. Thus can also be enabled a comparison and the results proved to be competitive with other methods mentioned in literature.