The non-linear behavior of human erythrocytes subjected to shear stress was
analyzed using data series from the Erythrocyte Rheometer and a theoretical
model was developed. Linear behavior was eliminated by means of a slot filter
and a sixth order Savisky-Golay filter was applied to the resulting time series
that allows the elimination of any possible white noise in the data. A fast
Fourier transform was performed on the processed data, which resulted in a
series of frequency dominant peaks. Results suggest the presence of a
non-linear quadratic term in the Kelvin-Voigt phenomenological model. The
correlation dimension studied through recurrence quantification analysis gave
C2=2.58. Results suggest that the underlying dynamics is the same in each RBC
sample corresponding to healthy donors
