DocumentCode :
13169
Title :
A Model Approach: Mathematical modeling provides an increasingly clear picture of glucose and neural systems.
Author :
Cobelli, Claudio ; Ursino, Mauro
Author_Institution :
Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
Volume :
6
Issue :
4
fYear :
2015
fDate :
July-Aug. 2015
Firstpage :
33
Lastpage :
38
Abstract :
Mathematical modeling of physiological systems is a fundamental milestone of biomedical engineering. Models allow for the quantitative understanding of the intimate functions of a biological system, estimating parameters that are not accessible to direct measurement and performing in silico trials by simulating and tracking a physiological system in case its function has been deranged. Modeling has always been central in the Italian biomedical engineering community. Here, we review the progress in two areas: glucose and neurocomputational modeling with an emphasis on their clinical impact.
Keywords :
biomedical engineering; neurophysiology; biological system; biomedical engineering; clinical impact; glucose; mathematical modeling; neural systems; neurocomputational modeling; physiological system; Biomedical monitoring; Diabetes; Insulin; Mathematical model; Medical services; Plasmas; Sensitivity;
fLanguage :
English
Journal_Title :
Pulse, IEEE
Publisher :
ieee
ISSN :
2154-2287
Type :
jour
DOI :
10.1109/MPUL.2015.2428681
Filename :
7156287
Link To Document :
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