Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness
Authors
Keywords
-
Journal
SENSORS
Volume 13, Issue 6, Pages 7279-7295
Publisher
MDPI AG
Online
2013-06-04
DOI
10.3390/s130607279
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reduction of Number and Duration of Hypoglycemic Events by Glucose Prediction Methods: A Proof-of-Concept In Silico Study
- (2013) Chiara Zecchin et al. Diabetes Technology & Therapeutics
- Non-invasive glucose monitoring technology in diabetes management: A review
- (2012) Sandeep Kumar Vashist ANALYTICA CHIMICA ACTA
- Using Stochastic modelling to identify unusual continuous glucose monitor measurements and behaviour, in newborn infants
- (2012) Matthew Signal et al. Biomedical Engineering Online
- Real-Time Improvement of Continuous Glucose Monitoring Accuracy: The smart sensor concept
- (2012) A. Facchinetti et al. DIABETES CARE
- A Comparative Effectiveness Analysis of Three Continuous Glucose Monitors
- (2012) E. R. Damiano et al. DIABETES CARE
- Influence of Time Point of Calibration on Accuracy of Continuous Glucose Monitoring in Individuals with Type 1 Diabetes
- (2012) Thomas Zueger et al. Diabetes Technology & Therapeutics
- Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach
- (2012) S. Guerra et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system
- (2012) Mattia Zanon et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- A meta-learning approach to the regularized learning—Case study: Blood glucose prediction
- (2012) V. Naumova et al. NEURAL NETWORKS
- Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management
- (2012) Giovanni Sparacino et al. SENSORS
- Characteristics of a multisensor system for non invasive glucose monitoring with external validation and prospective evaluation
- (2011) Andreas Caduff et al. BIOSENSORS & BIOELECTRONICS
- A Dynamic Risk Measure from Continuous Glucose Monitoring Data
- (2011) Stefania Guerra et al. Diabetes Technology & Therapeutics
- A Multiple Local Models Approach to Accuracy Improvement in Continuous Glucose Monitoring
- (2011) Fátima Barceló-Rico et al. Diabetes Technology & Therapeutics
- Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring
- (2011) A. Facchinetti et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Comparison of interval and Monte Carlo simulation for the prediction of postprandial glucose under uncertainty in type 1 diabetes mellitus
- (2010) R. Calm et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Cutaneous Blood Perfusion as a Perturbing Factor for Noninvasive Glucose Monitoring
- (2010) Andreas Caduff et al. Diabetes Technology & Therapeutics
- Enhanced Accuracy of Continuous Glucose Monitoring by Online Extended Kalman Filtering
- (2010) Andrea Facchinetti et al. Diabetes Technology & Therapeutics
- Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial
- (2010) Roman Hovorka et al. LANCET
- A study on electrode gels for skin conductance measurements
- (2010) Christian Tronstad et al. PHYSIOLOGICAL MEASUREMENT
- Estimating Plasma Glucose from Interstitial Glucose: The Issue of Calibration Algorithms in Commercial Continuous Glucose Monitoring Devices
- (2010) Paolo Rossetti et al. SENSORS
- “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
- (2010) Giovanni Sparacino et al. SENSORS
- Non-invasive glucose monitoring in patients with Type 1 diabetes: A Multisensor system combining sensors for dielectric and optical characterisation of skin
- (2009) Andreas Caduff et al. BIOSENSORS & BIOELECTRONICS
- Global estimates of the prevalence of diabetes for 2010 and 2030
- (2009) J.E. Shaw et al. DIABETES RESEARCH AND CLINICAL PRACTICE
- Multiparameter techniques for non-invasive measurement of blood glucose
- (2009) Carlos F. Amaral et al. SENSORS AND ACTUATORS B-CHEMICAL
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now