“Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
Open Access
- 12 July 2010
- Vol. 10 (7), 6751-6772
- https://doi.org/10.3390/s100706751
Abstract
The availability of continuous glucose monitoring (CGM) sensors allows development of new strategies for the treatment of diabetes. In particular, from an on-line perspective, CGM sensors can become “smart” by providing them with algorithms able to generate alerts when glucose concentration is predicted to exceed the normal range thresholds. To do so, at least four important aspects have to be considered and dealt with on-line. First, the CGM data must be accurately calibrated. Then, CGM data need to be filtered in order to enhance their signal-to-noise ratio (SNR). Thirdly, predictions of future glucose concentration should be generated with suitable modeling methodologies. Finally, generation of alerts should be done by minimizing the risk of detecting false and missing true events. For these four challenges, several techniques, with various degrees of sophistication, have been proposed in the literature and are critically reviewed in this paper.Keywords
This publication has 54 references indexed in Scilit:
- Enhanced Accuracy of Continuous Glucose Monitoring by Online Extended Kalman FilteringDiabetes Technology & Therapeutics, 2010
- Statistical Tools to Analyze Continuous Glucose Monitor DataDiabetes Technology & Therapeutics, 2009
- Estimation of Future Glucose Concentrations with Subject-Specific Recursive Linear ModelsDiabetes Technology & Therapeutics, 2009
- Continuous Glucose Monitoring and Intensive Treatment of Type 1 DiabetesThe New England Journal of Medicine, 2008
- Improved Glycemic Control in Poorly Controlled Patients with Type 1 Diabetes Using Real-Time Continuous Glucose MonitoringDiabetes Care, 2006
- Evaluation of a New Measure of Blood Glucose Variability in DiabetesDiabetes Care, 2006
- A Stochastic Model to Assess the Variability of Blood Glucose Time Series in Diabetic Patients Self-MonitoringIEEE Transactions on Biomedical Engineering, 2006
- Evaluation of Factors Affecting CGMS CalibrationDiabetes Technology & Therapeutics, 2006
- Calibration of a subcutaneous amperometric glucose sensor implanted for 7 days in diabetic patients: Part 2. Superiority of the one-point calibration methodBiosensors and Bioelectronics, 2002
- Lack of control by glucose of ultradian insulin secretory oscillations in impaired glucose tolerance and in non-insulin-dependent diabetes mellitus.JCI Insight, 1993