Giuseppe De Nicolao

Giuseppe De Nicolao


Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 February 2003 in International Journal of Robust and Nonlinear Control
Verified
Journal Article
Closed access
PDF file
LMLalo Magni
Lalo Magni
GNGiuseppe De Nicolao
Giuseppe De Nicolao
RSR. Scattolini
R. Scattolini
FAF. Allgöwer
F. Allgöwer

3 April 2012 in IEEE Transactions on Biomedical Engineering
Verified
Journal Article
Closed access
SPS. D. Patek
S. D. Patek
LMLalo Magni
Lalo Magni
EDE. Dassau
E. Dassau
CHC. Hughes-Karvetski
C. Hughes-Karvetski
CTChiara Toffanin
Chiara Toffanin
BKB. P. Kovatchev
B. P. Kovatchev
Modularity plays a key role in many engineering systems, allowing for plug-and-play integration of components, enhancing flexibility and adaptability, and facilitating standardization. In the control of diabetes, i.e., the so-called “artificial pancreas,” modularity allows for the step-wise introduction of (and regulatory approval for) algorithmic components, starting with subsystems for assured patient safety and followed by higher layer components that serve to modify the patient's basal rate in real time. In this paper, we introduce a three-layer modular architecture for the control of diabetes, consisting in a sensor/pump interface module (IM), a continuous safety module (CSM), and a real-time control module (RTCM), which separates the functions of insulin recommendation (postmeal insulin for mitigating hyperglycemia) and safety (prevention of hypoglycemia). In addition, we provide details of instances of all three layers of the architecture: the APS© serving as the IM, the safety supervision module (SSM) serving as the CSM, and the range correction module (RCM) serving as the RTCM. We evaluate the performance of the integrated system via in silico preclinical trials, demonstrating 1) the ability of the SSM to reduce the incidence of hypoglycemia under nonideal operating conditions and 2) the ability of the RCM to reduce glycemic variability.

30 September 1997 in Automatica
Verified
Journal Article
Closed access
GNGiuseppe De Nicolao
Giuseppe De Nicolao
LMLalo Magni
Lalo Magni
RSR. Scattolini
R. Scattolini

1 January 2000
Verified
Book Chapter
Closed access
PDF file
GNGiuseppe De Nicolao
Giuseppe De Nicolao
LMLalo Magni
Lalo Magni
RSR. Scattolini
R. Scattolini

1 April 2019 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
MMMirko Messori
Mirko Messori
CTChiara Toffanin
Chiara Toffanin
SFSimone Del Favero
Simone Del Favero
GNGiuseppe De Nicolao
Giuseppe De Nicolao
CCClaudio Cobelli
Claudio Cobelli
LMLalo Magni
Lalo Magni

1 July 2016 in Automatica
Verified
Journal Article
Closed access
PBPaolo Bolzern
Paolo Bolzern
PCPatrizio Colaneri
Patrizio Colaneri
GNGiuseppe De Nicolao
Giuseppe De Nicolao