We present an application of wavelet-based Information Theory quantifiers (Relative
Wavelet Energy, Normalized Total Wavelet Entropy, Wavelet MPR-Statistical Complexity
and Entropy-Complexity plane) on red blood cells membrane viscoelasticity
characterization. These quantifiers exhibit important localization advantages provided
by the Wavelet Theory. The present approach produces a clear characterization of this
dynamical system. We have found out an evident manifestation of a random process on
the red cell samples of healthy individuals, which is weakly less when studying glucose
incubated erythrocytes, while there is a sharp reduction of randomness on analyzing a
human haematological disease, such as β-thalassemia minor.
Keywords: Time series, Hemorheology, Wavelet analysis, Entropy, Generalized Statistical
Complexity, Thalassemia, Glycosylation.
