Acquisition software development for monitor Holter prototype signals and its use for pre-diagnosis of cardiac damage based on nonlinear dynamic techniques

Multifractal analysis of time series obtained of heartbeat intervals from healthy people and patients with congestive heart failure (CHF) was performed. In addition, we designed a Holter monitor with a maximum sampling frequency of 1500 Hz. In order to get the data saved in the Holter we developed a software, also this software concentrates all procedures to perform the multifractal analysis. Besides, the software gets a prediagnosis based on nonlinear dynamic techniques and traditional techniques. In the multifractal analysis we found differences between the multifractal index and the spectra symmetry of the series from healthy subjects and subjects with CHF. We observed that in healthy subjects the spectrum tends to be right skewed, for subjects with CHF it tends to be left skewed. These results confirm the possibility of characterizing the health state of a person by using parameters of nonlinear dynamics, particularly the multifractal parameters.