Documents disponibles écrits par cet auteur

Automatic detection of stress states in type 1 diabetes subjects in ambulatory conditions / Daniel A. Finan in Industrial & engineering chemistry research, Vol. 49 N° 17 (Septembre 1, 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 17 (Septembre 1, 2010) . - pp 7843–7848 Titre : Automatic detection of stress states in type 1 diabetes subjects in ambulatory conditions Type de document : texte imprimé Auteurs : Daniel A. Finan, Auteur ; Howard Zisser, Auteur ; Lois Jovanovic, Auteur Année de publication : 2010 Article en page(s) : pp 7843–7848 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Automatic  detection  Ambulatory  conditions. Résumé : Two levels of control are crucial to the robustness of an artificial β-cell, a medical device that would automatically regulate blood glucose levels in patients with type 1 diabetes. A low-level component would attempt to regulate blood glucose continuously, whereas a supervisory-level, or monitoring, component would detect underlying changes in the subject’s glucose−insulin dynamics and take corrective actions accordingly. These underlying changes, or “faults”, can include changes in insulin sensitivity, sensor problems, and insulin delivery problems, to name a few. A multivariate statistical monitoring technique, principal component analysis (PCA), has been applied to both simulated and experimental type 1 diabetes data. The objective of this study was to determine if PCA could be used to distinguish between normal patient data and data for abnormal conditions that included a variety of “faults.” The PCA results showed a high degree of accuracy; for data from nine type 1 diabetes subjects under ambulatory conditions, 33 of 37 total test days (89%), including fault days and normal days, were classified correctly. Therefore, the proposed monitoring technique shows considerable promise for incorporation into an artificial β-cell. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901891c [article] Automatic detection of stress states in type 1 diabetes subjects in ambulatory conditions [texte imprimé] / Daniel A. Finan, Auteur ; Howard Zisser, Auteur ; Lois Jovanovic, Auteur . - 2010 . - pp 7843–7848. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 17 (Septembre 1, 2010) . - pp 7843–7848 Mots-clés : Automatic  detection  Ambulatory  conditions. Résumé : Two levels of control are crucial to the robustness of an artificial β-cell, a medical device that would automatically regulate blood glucose levels in patients with type 1 diabetes. A low-level component would attempt to regulate blood glucose continuously, whereas a supervisory-level, or monitoring, component would detect underlying changes in the subject’s glucose−insulin dynamics and take corrective actions accordingly. These underlying changes, or “faults”, can include changes in insulin sensitivity, sensor problems, and insulin delivery problems, to name a few. A multivariate statistical monitoring technique, principal component analysis (PCA), has been applied to both simulated and experimental type 1 diabetes data. The objective of this study was to determine if PCA could be used to distinguish between normal patient data and data for abnormal conditions that included a variety of “faults.” The PCA results showed a high degree of accuracy; for data from nine type 1 diabetes subjects under ambulatory conditions, 33 of 37 total test days (89%), including fault days and normal days, were classified correctly. Therefore, the proposed monitoring technique shows considerable promise for incorporation into an artificial β-cell. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901891c

Practical approach to design and implementation of a control algorithm in an artificial pancreatic beta cell / Matthew W. Percival in Industrial & engineering chemistry research, Vol. 48 N° 13 (Juillet 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 13 (Juillet 2009) . - pp. 6059–6067 Titre : Practical approach to design and implementation of a control algorithm in an artificial pancreatic beta cell Type de document : texte imprimé Auteurs : Matthew W. Percival, Auteur ; Dassau Eyal, Auteur ; Howard Zisser, Auteur Année de publication : 2009 Article en page(s) : pp. 6059–6067 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Artificial  pancreatic  beta  cell  Control  algorithm  Glucose-insulin  kinetics  Hardware-in-the-loop  implementation Résumé : The rate limiting bottleneck in the development of an artificial pancreatic beta cell is currently the control algorithm used to make insulin dosing decisions. In this paper, a solution for the rapid development of a personalized control algorithm was proposed and the methodology was tested on the pilot scale using a physiological model of glucose−insulin kinetics and a hardware-in-the-loop (HIL) implementation of an artificial pancreatic beta cell. A model-based controller was developed from the identification tests and was augmented with advanced control strategies. The resulting controller improved glycemia from the open-loop case with no hypoglycemic events and a reduction in time spent hyperglycemic. Robustness issues were addressed with a 50% mismatch in insulin sensitivity from model to plant. The HIL platform provided insight into the effects of sensor drift and practicalities of continuous insulin delivery based on glucose sensor feedback. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801432u [article] Practical approach to design and implementation of a control algorithm in an artificial pancreatic beta cell [texte imprimé] / Matthew W. Percival, Auteur ; Dassau Eyal, Auteur ; Howard Zisser, Auteur . - 2009 . - pp. 6059–6067. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 13 (Juillet 2009) . - pp. 6059–6067 Mots-clés : Artificial  pancreatic  beta  cell  Control  algorithm  Glucose-insulin  kinetics  Hardware-in-the-loop  implementation Résumé : The rate limiting bottleneck in the development of an artificial pancreatic beta cell is currently the control algorithm used to make insulin dosing decisions. In this paper, a solution for the rapid development of a personalized control algorithm was proposed and the methodology was tested on the pilot scale using a physiological model of glucose−insulin kinetics and a hardware-in-the-loop (HIL) implementation of an artificial pancreatic beta cell. A model-based controller was developed from the identification tests and was augmented with advanced control strategies. The resulting controller improved glycemia from the open-loop case with no hypoglycemic events and a reduction in time spent hyperglycemic. Robustness issues were addressed with a 50% mismatch in insulin sensitivity from model to plant. The HIL platform provided insight into the effects of sensor drift and practicalities of continuous insulin delivery based on glucose sensor feedback. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801432u