By Topic

Analyzing blood cell concentration as a stochastic process

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Perez, A. ; Interdisciplinary Group in Theor. Biol., Favaloro Univ., Buenos Aires, Argentina ; D'Attellis, C.E. ; Rapacioli, M. ; Hirchoren, G.A.
more authors

The hemogram is a prime index of evolution and prognosis of a variety of severe pathological disorders. The concentration of circulating blood elements, taken as a parameter of the system dynamics, displays a remarkable temporal variability. This variability can be considered as the integrated result of all the multiple interactions involved in controlling processes of generation, lifetime, and remotion of circulating cells. Designing a model able to satisfactorily predict the evolution (i.e., range of future values) of a hemogram series would be of high medical relevance. This article reports on basic characteristics of normal hemogram variability, analyzed as a stochastic process, within the framework of a mathematically defined theoretical model, the fractional Brownian motion. These results are compared with those obtained by standard spectral analysis: the autocorrelation function and its Fourier transform. Time series corresponding to day-to-day records of the circulating blood cells concentration obtained from two healthy sheep over a period of 1024 days were used.

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:20 ,  Issue: 6 )