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Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor

Lyvia Biagi, Charrise Ramkissoon, Andrea Facchinetti, Yenny Leal, Josep Vehi
2017 Sensors  
The model of the ENL sensor error will be useful to test the in silico performance of CGM-based applications, i.e., the artificial pancreas, employing this kind of sensor.  ...  Continuous glucose monitors (CGMs) are prone to inaccuracy due to time lags, sensor drift, calibration errors, and measurement noise.  ...  Abbreviations: MARD, mean absolute relative difference; BG-IG, blood glucose to interstitium glucose. Discussion This paper presents a sensor error model to represent the ENL sensor.  ... 
doi:10.3390/s17061361 pmid:28604634 pmcid:PMC5492301 fatcat:sbi7ls6arfblvpv2dyotcla5hy

Modeling the Error of Continuous Glucose Monitoring Sensor Data: Critical Aspects Discussed through Simulation Studies

Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2010 Journal of Diabetes Science and Technology  
Acknowledgment: We thank Professor Giuseppe De Nicolao (University of Pavia, Italy) for the useful discussions shared with us on the topic of this work.  ...  Modeling of CGM Sensor Error State of the Art Only a few papers have explicitly considered the problem of modeling the time series of CGM sensor errors.  ...  In fact, because CGM sensors respond to interstitial glucose (IG) and not directly to BG, a model of the BG-to-IG dynamics is needed to account for signal distortion.  ... 
doi:10.1177/193229681000400102 pmid:20167162 pmcid:PMC2825619 fatcat:ls4qu72rfzbe3gkixb4pumjkea

Analysis, Modeling, and Simulation of the Accuracy of Continuous Glucose Sensors

Marc Breton, Boris Kovatchev
2008 Journal of Diabetes Science and Technology  
Acknowledgement: The authors thank Abbott Diabetes Care (Alameda, California) for sharing their database.  ...  Thus, the modeling of sensor errors is based on a diffusion model of blood-to-interstitial glucose transport, which accounts for the time delay, and a time-series approach, which includes autoregressive  ...  The sensor-specific errors appear to be generally limited to the order of the ARMA model and the shape of the sensor error distribution.  ... 
doi:10.1177/193229680800200517 pmid:19750186 pmcid:PMC2740661 fatcat:ov4oddoybnaw7g42alvvhhwt3i

Modeling of Effect of Glucose Sensor Errors on Insulin Dosage and Glucose Bolus Computed by LOGIC-Insulin

T. Van Herpe, B. De Moor, G. Van den Berghe, D. Mesotten
2014 Clinical Chemistry  
In this study, we aimed to determine the allowable error for intermittent and continuous glucose sensors, on the basis of the LOGIC-Insulin calculator.  ...  METHODS: A gaussian simulation model with a varying bias (0%-20%) and CV (Ϫ20% to ϩ20%) simulated blood glucose values from the LOGIC-1 study (n ϭ 149 patients) in 10 Monte Carlo steps.  ...  Role of Sponsor: The funding organizations played no role in the design of study, choice of enrolled patients, review and interpretation of data, or preparation or approval of manuscript.  ... 
doi:10.1373/clinchem.2014.227017 pmid:25161144 fatcat:tgmy265okbfc3d526r32gh4uwm

Influence of fingerprints and finger positioning on accuracy of RF blood glucose measurement from fingertips

V. Turgul, I. Kale
2017 Electronics Letters  
However, a positioning error may introduce more frequency shift than the shift caused by the change in the glucose content.  ...  Microwave resonators are utilised as sensors for measuring the glucose levels.  ...  However, a positioning error may introduce more frequency shift than the shift caused by the change in the glucose content.  ... 
doi:10.1049/el.2016.4327 fatcat:5hlpm7iejjgw7o3fp4xbzeiqci

Preclinical Performance Evaluation of Percutaneous Glucose Biosensors

Robert J. Soto, Mark H. Schoenfisch
2015 Journal of Diabetes Science and Technology  
Keywords animal model, biocompatibility, blood glucose, blood glucose meter, foreign body response, in vivo glucose sensor  ...  However, these techniques do not adequately predict in vivo glucose sensor function, necessitating sensor performance evaluation in a relevant animal model prior to human testing.  ...  Figure 4 . 4 Clarke error grid analysis for a glucose biosensor after implantation in a healthy swine model.  ... 
doi:10.1177/1932296815590628 pmid:26085566 pmcid:PMC4667323 fatcat:7pbusyfatbd5tgvqv3amkuz34u

Quantitative Analysis Of Performance Of A Hydrogen Peroxide–Based Glucose Biosensor

Azila Abd. Aziz
2009 Jurnal Teknologi  
The mathematical model predicted that the addition of an external layer with lowered permeability to solutes could improve the performance of the sensor. Abstrak.  ...  Model matematik tersebut meramalkan bahawa penambahan satu lapisan luar yang mempunyai kebolehtelapan yang rendah terhadap bahan larut mampu memperbaiki prestasi sensor.  ...  Figure 5 5 The effect of permeability of the outer layer on the response time and % error of a glucose sensor.  ... 
doi:10.11113/jt.v51.149 fatcat:ik55nwpfdnaznm7loyg3uwci6m

Integral-based filtering of continuous glucose sensor measurements for glycaemic control in critical care

J. Geoffrey Chase, Christopher E. Hann, Monique Jackson, Jessica Lin, Thomas Lotz, Xing-Wei Wong, Geoffrey M. Shaw
2006 Computer Methods and Programs in Biomedicine  
Clinically, the results show one possible computational method for managing the larger errors encountered in emerging continuous blood glucose sensors, thus enabling their more effective use in clinical  ...  This paper models the impact of the Continuous Glucose Monitoring System (CGMS, Medtronic, Northridge, CA) on model-based parameter identification and glucose prediction.  ...  Modeling Noise for the CGMS Sensor All the available literature reports CGMS accuracy and error referenced to laboratory standard measurements using a Clarke Error Grid.  ... 
doi:10.1016/j.cmpb.2006.03.004 pmid:16647157 fatcat:7n522xdgtjffznae7xh6rhkqaq

Interstitial fluid glucose time-lag correction for real-time continuous glucose monitoring

D. Barry Keenan, John J. Mastrototaro, Stuart A. Weinzimer, Garry M. Steil
2013 Biomedical Signal Processing and Control  
We designed and tested a Wiener filter using a set of 20 sensor-glucose tracings (∼30 h each) with a 1-min sample interval.  ...  The error increased in the presence of noise (to 5.7 ± 2.6%) and attempts to remove the noise with conventional low-pass filtering increased the error still further (to 7.0 ± 3.5%).  ...  Gradient and delay parameters were estimated from the model based on plasma glucose and sensor-current samples from a subcutaneous enzymatic sensor.  ... 
doi:10.1016/j.bspc.2012.05.007 fatcat:rxubl2kvvffivffwge5yuzki5e

Mathematical Modeling Of An Amperometric Glucose Sensor: The Effect Of Membrane Permeability And Selectivity On Performance

Azila Abd. Aziz
2009 Jurnal Teknologi  
In this work, a mathematical model has been developed to study the effect of membrane permeability and selectivity on peroxide based glucose biosensor performance.  ...  Most works focused on the employment of a perm-selective membrane sandwiched between the electrode and the active component of the sensor to overcome this problem.  ...  For a case study, the following parameters were employed for the sensor: acetaminophen gave rise to 8.9% error in the response of the sensor to 5 mM glucose and 1% error in the response of the sensor  ... 
doi:10.11113/jt.v51.148 fatcat:jjvsep47hnelrn7o7s4crnhtca

In Silico Preclinical Trials: A Proof of Concept in Closed-Loop Control of Type 1 Diabetes

Boris P. Kovatchev, Marc Breton, Chiara Dalla Man, Claudio Cobelli
2009 Journal of Diabetes Science and Technology  
Acknowledgements: The authors thank Abbott Diabetes Care and Dexcom Inc. for sharing CGM data.  ...  errors into errors due to calibration, blood-to-interstitial glucose transfer, and random noise. 41 After generating a random calibration error, the components of sensor error can be modeled as a combination  ...  The composition of sensor errors is described in detail by Breton and Kovatchev. 42 In some sense, this sensor simulation model provides worstcase scenario sensor errors; we anticipate that the real  ... 
doi:10.1177/193229680900300106 pmid:19444330 pmcid:PMC2681269 fatcat:ft24qimthnbupmfkzgblios32y

Use of pneumococcal polysaccharide vaccine in children

Ray Borrow, Paul T. Heath, Claire-Anne Siegrist
2012 Current Opinion in Infectious Diseases  
Acknowledgements: The authors thank Abbott Diabetes Care and Dexcom Inc. for sharing CGM data.  ...  errors into errors due to calibration, blood-to-interstitial glucose transfer, and random noise. 41 After generating a random calibration error, the components of sensor error can be modeled as a combination  ...  The composition of sensor errors is described in detail by Breton and Kovatchev. 42 In some sense, this sensor simulation model provides worstcase scenario sensor errors; we anticipate that the real  ... 
doi:10.1097/qco.0b013e3283531b0f pmid:22517603 fatcat:mdew372fabdarpcoxcbzin6psq

Preclinical In Vivo Study of a Fluorescence Affinity Sensor for Short-Term Continuous Glucose Monitoring in a Small and Large Animal Model

Ralph Dutt-Ballerstadt, Colton Evans, Ashok Gowda, Roger McNichols
2008 Diabetes Technology & Therapeutics  
The performance of a fiber-coupled fluorescence affinity sensor (FAS) was studied in vivo in small and large animal models, in order to assess its feasibility and safety for short-term glucose monitoring  ...  Clarke Error Grid.  ...  Acknowledgments This research was supported by grant R43DK067754A from the National Institutes of Health.  ... 
doi:10.1089/dia.2008.0033 pmid:19049374 pmcid:PMC2939840 fatcat:xtwgegmyt5g47m67rrjzhfg2hm

Glucose Monitoring in Individuals With Diabetes Using a Long-Term Implanted Sensor/Telemetry System and Model

Joseph Y. Lucisano, Timothy L. Routh, Joe T. Lin, David A. Gough
2017 IEEE Transactions on Biomedical Engineering  
The sensor signals indicate dynamic tissue glucose, for which there is no independent standard, and a model describing the relationship between blood glucose and the signal is therefore included.  ...  The values of all model parameters have been estimated, including the permeability of adjacent tissues to glucose, and equated to conventional mass transfer parameters.  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Diabetes and Digestive and Kidney Diseases or the National Institutes  ... 
doi:10.1109/tbme.2016.2619333 pmid:27775510 pmcid:PMC5561509 fatcat:bju3643j4rag5hziclci2k7ieu

Interstitial fluid glucose dynamics during insulin-induced hypoglycaemia

G. M. Steil, K. Rebrin, F. Hariri, S. Jinagonda, S. Tadros, C. Darwin, M. F. Saad
2005 Diabetologia  
Subjects wore two s.c. glucose sensors (Medtronic Mini-Med, Northridge, CA, USA) that had been inserted for more than 12 h. A two-compartment model was used to quantify the delay and gradient.  ...  Aims/hypothesis: Glucose sensors often measure s.c. interstitial fluid (ISF) glucose rather than blood or plasma glucose.  ...  Rebrin are employed by Medtronic MiniMed, maker of the glucose sensor used here.  ... 
doi:10.1007/s00125-005-1852-x pmid:16001232 fatcat:dbndgry3xjbghebpmufwntbtde
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