Optimal estimation of blood glucose

Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

Volumn 30, Issue , 2004, Pages 77-78

  Bequette, B Wayne ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDBACK CONTROL; FINITE DIFFERENCE METHOD; GLUCOSE; KALMAN FILTERING; PARAMETER ESTIMATION; PLASMAS; VECTOR QUANTIZATION;

BLOOD GLUCOSE; KALMAN GAIN; OPTIMAL ESTIMATION; PLASMA GLUCOSE;

BLOOD;

EID: 2942620494     PISSN: 1071121X     EISSN: 21607001     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. The Diabetes Control and Complications Trial Research Group "The Effect of Intensive Treatment of Diabetes on the Development of Long-Term Complications in Insulin-Dependent Diabetes Mellitus," N. Eng. J. Med., 329, 977-986 (1993).
2. Stengel, R.F. Optimal Control and Estimation, Dover, New York (1994). This is an unabridged, corrected republication of Stochastic Optimal Control: Theory and Application, Wiley, New York (1986).
3. Rebrin, K., G.M. Steil, W.P. Van Antwerp and J.J. Mastrototaro "Subcutaneous Glucose Predicts Plasma Glucose Independent of Insulin: Implications for Continuous Monitoring," Am. J. Physiol. 277 (Endocrinol. Metab. 40): E561-E571 (1999).
4. Choleau, C. P. Dokladal, J.-C. Klein, W.K. Ward, G.S. Wilson and G. Reach "Prevention of Hypoglycemia Using Risk Assessment With a Continuous Glucose Monitoring System," Diabetes, 54, 3263-3273 (2002).
5. th Northeast Bioengineering Conference, Springfield, MA, April 17-18, 2004.