Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Claudio Cobelli

Showing results (21-30 of 392) with videos related to

Pageof 40
Sort By:
Annals of Biomedical Engineering|October 26, 2002
Generalization of map estimation in SAAM II: validation against ADAPT II in a glucose model case studyTiziano Callegari, Andrea Caumo, Claudio Cobelli
Annals of Biomedical Engineering|November 27, 2002
Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approachGianluigi Pillonetto, Giovanni Sparacino, Claudio Cobelli
Journal of Diabetes Science and Technology|October 16, 2013
Signal processing algorithms implementing the "smart sensor" concept to improve continuous glucose monitoring in diabetesAndrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Identification of the glucose minimal model by stochastic nonlinear-mixed effects methodsAnna Largajolli, Alessandra Bertoldo, Claudio Cobelli
IEEE Transactions on Bio-Medical Engineering|October 14, 2009
An online self-tunable method to denoise CGM sensor dataAndrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
The Lancet. Diabetes & Endocrinology|June 20, 2014
The artificial pancreas: a digital-age treatment for diabetesClaudio Cobelli, Eric Renard, Boris Kovatchev
Automatica : the Journal of IFAC, the International Federation of Automatic Control|April 11, 2022
Closed-form expressions and nonparametric estimation of COVID-19 infection rateMauro Bisiacco, Gianluigi Pillonetto, Claudio Cobelli
Journal of Diabetes Science and Technology|November 4, 2009
Reconstruction of glucose in plasma from interstitial fluid continuous glucose monitoring data: role of sensor calibrationAndrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Plos One|March 6, 2014
Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of conceptElena Ceseracciu, Zimi Sawacha, Claudio Cobelli
Mathematical Biosciences|June 6, 2003
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimationGianluigi Pillonetto, Giovanni Sparacino, Claudio Cobelli
Pageof 40

Showing results (21-30 of 392) with videos related to

Sort By:
Pageof 40
Annals of Biomedical Engineering|October 26, 2002
Generalization of map estimation in SAAM II: validation against ADAPT II in a glucose model case studyTiziano Callegari, Andrea Caumo, Claudio Cobelli
Annals of Biomedical Engineering|November 27, 2002
Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approachGianluigi Pillonetto, Giovanni Sparacino, Claudio Cobelli
Journal of Diabetes Science and Technology|October 16, 2013
Signal processing algorithms implementing the "smart sensor" concept to improve continuous glucose monitoring in diabetesAndrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Identification of the glucose minimal model by stochastic nonlinear-mixed effects methodsAnna Largajolli, Alessandra Bertoldo, Claudio Cobelli
IEEE Transactions on Bio-Medical Engineering|October 14, 2009
An online self-tunable method to denoise CGM sensor dataAndrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
The Lancet. Diabetes & Endocrinology|June 20, 2014
The artificial pancreas: a digital-age treatment for diabetesClaudio Cobelli, Eric Renard, Boris Kovatchev
Automatica : the Journal of IFAC, the International Federation of Automatic Control|April 11, 2022
Closed-form expressions and nonparametric estimation of COVID-19 infection rateMauro Bisiacco, Gianluigi Pillonetto, Claudio Cobelli
Journal of Diabetes Science and Technology|November 4, 2009
Reconstruction of glucose in plasma from interstitial fluid continuous glucose monitoring data: role of sensor calibrationAndrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Plos One|March 6, 2014
Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of conceptElena Ceseracciu, Zimi Sawacha, Claudio Cobelli
Mathematical Biosciences|June 6, 2003
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimationGianluigi Pillonetto, Giovanni Sparacino, Claudio Cobelli
Pageof 40