Some proposal method originated information theory for electrophysiologics register analysis?

MATEOS DIEGO; P.W.LAMBERTI ; ZOZOR STEEVE

Carlos Paz

Workshop; Latin American Workshop on Nonlinear Phenomena, XIII LAWNP 2013; 2013

Famaf - UNC - CONICET

Physiological registers, like EEG, ECG and blood pressure has been anal- ysed using differents statistical technique, many of them developed for time series. Recently this set of tools has been expanded by the inclusion of physical concept like chaos ,complexity, criticality and others [1,3]. The use of these concepts has allowed a better understanding of the dynamical aspects behind the system originating the corresponding registers. A very significant example is the association of chaotic behavior in ECG registers with some kind of car- diac disease [4]; or the application of wavelets entropies in the study of EEG register of epileptic patients [5]. We investigate different method of analysis in physiologic register, based on theoretical information quantities (entropy, Jensen-Shannon divergence), Band and Pompe permutation entropy [6] and the Lempel-Ziv complexity [7]. These methods have been applied in EEG registers, continuous monitoring Blood pressure and respiration registers. Even thought our results are preliminary we can arrive to some significant conclusions about the ad-vantage of one method over the others, and we investigate the extraction of information clinically relevant from this analysis.