Fraser Cameron

Summary

Publications

  1. pmc A closed-loop artificial pancreas based on risk management
    Fraser Cameron
    Department of Aeronautics and Astronautics, Stanford University, Stanford, California, USA
    J Diabetes Sci Technol 5:368-79. 2011
  2. pmc Preventing hypoglycemia using predictive alarm algorithms and insulin pump suspension
    Bruce Buckingham
    Department of Pediatric Endocrinology, Stanford University, Stanford, California 94305 5208, USA
    Diabetes Technol Ther 11:93-7. 2009
  3. pmc Prevention of nocturnal hypoglycemia using predictive alarm algorithms and insulin pump suspension
    Bruce Buckingham
    Department of Pediatric Endocrinology, Stanford University, Stanford, California, USA
    Diabetes Care 33:1013-7. 2010
  4. pmc Real-Time hypoglycemia prediction suite using continuous glucose monitoring: a safety net for the artificial pancreas
    Eyal Dassau
    Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California, USA
    Diabetes Care 33:1249-54. 2010
  5. pmc Probabilistic evolving meal detection and estimation of meal total glucose appearance
    Fraser Cameron
    Department of Aeronautics and Astronautics, Stanford University, Stanford, California 94305, USA
    J Diabetes Sci Technol 3:1022-30. 2009
  6. pmc Outpatient safety assessment of an in-home predictive low-glucose suspend system with type 1 diabetes subjects at elevated risk of nocturnal hypoglycemia
    Bruce A Buckingham
    1 Stanford University, Stanford, California
    Diabetes Technol Ther 15:622-7. 2013

Collaborators

Detail Information

Publications6

  1. pmc A closed-loop artificial pancreas based on risk management
    Fraser Cameron
    Department of Aeronautics and Astronautics, Stanford University, Stanford, California, USA
    J Diabetes Sci Technol 5:368-79. 2011
    ..Both of these nonlinearities force a controller to be more conservative when uncertainties are high. We developed a novel extended model predictive controller (EMPC) that explicitly addresses these two challenges...
  2. pmc Preventing hypoglycemia using predictive alarm algorithms and insulin pump suspension
    Bruce Buckingham
    Department of Pediatric Endocrinology, Stanford University, Stanford, California 94305 5208, USA
    Diabetes Technol Ther 11:93-7. 2009
    ..The goal of this pilot study was to assess the feasibility using a real-time CGM to discontinue insulin pump therapy when hypoglycemia was predicted...
  3. pmc Prevention of nocturnal hypoglycemia using predictive alarm algorithms and insulin pump suspension
    Bruce Buckingham
    Department of Pediatric Endocrinology, Stanford University, Stanford, California, USA
    Diabetes Care 33:1013-7. 2010
    ..The aim of this study was to develop a partial closed-loop system to safely prevent nocturnal hypoglycemia by suspending insulin delivery when hypoglycemia is predicted in type 1 diabetes...
  4. pmc Real-Time hypoglycemia prediction suite using continuous glucose monitoring: a safety net for the artificial pancreas
    Eyal Dassau
    Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California, USA
    Diabetes Care 33:1249-54. 2010
    ..This approach can provide a solution to the problem of nocturnal hypoglycemia, a major concern of patients with diabetes...
  5. pmc Probabilistic evolving meal detection and estimation of meal total glucose appearance
    Fraser Cameron
    Department of Aeronautics and Astronautics, Stanford University, Stanford, California 94305, USA
    J Diabetes Sci Technol 3:1022-30. 2009
    ..Thus any estimation of meal start time, size, and shape is fundamentally uncertain. This uncertainty can be reduced, but not eliminated, by estimating total glucose appearance and using new readings as they become available...
  6. pmc Outpatient safety assessment of an in-home predictive low-glucose suspend system with type 1 diabetes subjects at elevated risk of nocturnal hypoglycemia
    Bruce A Buckingham
    1 Stanford University, Stanford, California
    Diabetes Technol Ther 15:622-7. 2013
    ..Conclusions: This study demonstrated that the PLGS system in the home setting is safe and feasible. The preliminary efficacy data appear promising with the final algorithm reducing nocturnal hypoglycemia by almost 50%. ..