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Calibration of Minimally Invasive Continuous Glucose Monitoring Sensors: State-of-The-Art and Current Perspectives

Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino
2018 Biosensors  
Minimally invasive continuous glucose monitoring (CGM) sensors are wearable medical devices that provide real-time measurement of subcutaneous glucose concentration.  ...  Most of the commercially available CGM devices have a wire-based sensor, usually placed in the subcutaneous tissue, which measures a "raw" current signal via a glucose-oxidase electrochemical reaction.  ...  The real-time deconvolution-based approach proposed by Guerra et al.  ... 
doi:10.3390/bios8010024 pmid:29534053 pmcid:PMC5872072 fatcat:yrhh4pazqvebhfx2buslygzbz4

Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management

Giovanni Sparacino, Mattia Zanon, Andrea Facchinetti, Chiara Zecchin, Alberto Maran, Claudio Cobelli
2012 Sensors  
These continuous glucose monitoring (CGM) sensors have opened new scenarios to assess, off-line, the effectiveness of individual patient therapeutic plans from the retrospective analysis of glucose time-series  ...  Monitoring glucose concentration in the blood is essential in the therapy of diabetes, a pathology which affects about 350 million people around the World (three million in Italy), causes more than four  ...  The invasiveness of CGM sensors based on glucose-oxidase remains only minimal, but glucose concentration can be measured in real time with a 1-5 min sampling period and for up to 7 consecutive days (with  ... 
doi:10.3390/s121013753 pmid:23202020 pmcid:PMC3545591 fatcat:72fvhonwebfohm47ksre6vk24u

Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal

Chengyuan Liu, Josep Vehí, Parizad Avari, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero
2019 Sensors  
PERsonalised decision support) project. (2) Methods: The proposed blood glucose forecasting algorithm is based on a compartmental composite model of glucose–insulin dynamics, which uses a deconvolution  ...  In addition to commonly employed inputs by glucose forecasting methods (i.e., CGM data, insulin, carbohydrates), the proposed algorithm allows the optional input of meal absorption information to enhance  ...  In parallel, the model states of the gastrointestinal model (Equations (6) and (7) ) are estimated in real-time by applying a deconvolution of the CGM signal using the technique proposed by Herrero  ... 
doi:10.3390/s19194338 pmid:31597288 pmcid:PMC6806292 fatcat:gpygd7fmozhg7or7fpasms2veq

"Smart" Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues

Giovanni Sparacino, Andrea Facchinetti, Claudio Cobelli
2010 Sensors  
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  ...  Acknowledgements Some of the algorithms for calibration, denoising, prediction and alert generation discussed in this paper have been deposited by the University of Padova [39, 45] .  ... 
doi:10.3390/s100706751 pmid:22163574 pmcid:PMC3231130 fatcat:55pzgmjhjjfcpd52iqrrsd3kau

Signal Processing Algorithms Implementing the "Smart Sensor" Concept to Improve Continuous Glucose Monitoring in Diabetes

Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2013 Journal of Diabetes Science and Technology  
In April 2013, we proposed a new conceptual architecture to deal with these problems and render CGM sensors algorithmically smarter, which consists of three modules for denoising, enhancement, and prediction  ...  placed in cascade to a commercial CGM sensor.  ...  Acknowledgments: Data were collected, under the aegis of FP7 EU project "AP@home," at Academic Medical Center Amsterdam (Amsterdam, The Netherlands), Medical University of Graz (Graz, Austria), Profil  ... 
doi:10.1177/193229681300700522 pmid:24124959 pmcid:PMC3876376 fatcat:e6bdbqsykfah7ha3z6o2sy2il4

The Progress of Glucose Monitoring—A Review of Invasive to Minimally and Non-Invasive Techniques, Devices and Sensors

Wilbert Villena Gonzales, Ahmed Mobashsher, Amin Abbosh
2019 Sensors  
Current glucose monitoring methods for the ever-increasing number of diabetic people around the world are invasive, painful, time-consuming, and a constant burden for the household budget.  ...  framework for accuracy assessment, new approaches currently under study by representative groups and developers, and algorithm types for signal enhancement and value prediction.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19040800 fatcat:ztuzmn2tirdejdzjwcgicfdhju

Current Advancements in Transdermal Biosensing and Targeted Drug Delivery

Prem Pandey, Shubhangi Shukla, Shelby Skoog, Ryan Boehm, Roger Narayan
2019 Sensors  
A variety of strategies have been adopted for the enhancement of transdermal permeation for drug delivery and biosensing of various substances.  ...  Transdermal biosensing via microneedles has emerged as a novel approach to replace hypodermic needles.  ...  Acknowledgments: The authors wish to acknowledge support from SERB DST Grant Number VJR-2017-000034. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19051028 fatcat:4j7cnm2qonfohmy2hzftnuh7pq

Continuous Glucose Monitoring Algorithm: Accuracy Improvement and Evaluation in Type 1 Diabetes [chapter]

Zeinab Mahmoudi
2014 Continuous Glucose Monitoring Algorithm: Accuracy Improvement and Evaluation in Type 1 Diabetes  
Hejlesen, for the patient guidance, and encouraging supervision he has provided throughout my time as his student.  ...  My special thanks go to my colleagues at the Medical Informatics Group, for their hospitality and the positive work atmosphere they made for me, especially my officemates Anne Sofie Korsager, and Ask Schou  ...  Guerra et al. 107 developed a real-time deconvolution-based approach for estimating BG from CGM.  ... 
doi:10.13052/rp-9788793237377 fatcat:wqv2ug5p3bgd7e25zksaxynvz4

Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information [article]

Chengyuan Liu, Josep Vehi, Nick Oliver, Pantelis Georgiou, Pau Herrero
2018 arXiv   pre-print
Methods: a compartmental model of glucose-insulin dynamics combined with a deconvolution technique for state estimation is employed for glucose prediction.  ...  Finally, a comparison against a validated glucose prediction algorithm based on a latent variable with exogenous input (LVX) model is provided.  ...  To improve the forecasting capability of the proposed algorithm, the model states of the gastrointestinal sub-model (R a and R a1 ) are estimated in real-time (e.g. every 5 minutes) by doing a deconvolution  ... 
arXiv:1901.07467v1 fatcat:eeu6razntbgdrfwuvya3vtotjm

AP@home

Lutz Heinemann, Carsten Benesch, J. Hans DeVries
2016 Journal of Diabetes Science and Technology  
Over a time period of 5 years a series of clinical studies were performed that culminated in 2 "final studies" during which an AP system was used by patients in their home environment for 2 or 3 months  ...  In addition, a "single-port AP system" was developed within the project that combines continuous glucose monitoring and insulin infusion at a single tissue site.  ...  Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Within the Seventh Framework Programme (FP7) of the European  ... 
doi:10.1177/1932296816632002 pmid:26888971 pmcid:PMC4928224 fatcat:qun2gbv2bzgfpheymcba5boiaq

Abstracts

2012 Journal of Diabetes Science and Technology  
The proposed deconvolution-based algorithm can be used to enhance CGM accuracy in real time.  ...  Accuracy of Continuous Glucose Monitoring Enhanced Online via a Deconvolution-Based Algorithm Background: Continuous glucose monitoring (CGM) requires calibration every 24-48 h because accuracy deteriorates  ...  Methods: The glucose sensor is grown at the "edge plane" of a 25 μm gold wire and is based on first-generation Clark-type enzymatic detection of glucose.  ... 
doi:10.1177/193229681200600235 fatcat:qhjg2italnak5g5kataztaeun4

Materials for Diabetes Therapeutics

Kaitlin M. Bratlie, Roger L. York, Michael A. Invernale, Robert Langer, Daniel G. Anderson
2012 Advanced Healthcare Materials  
We also review the two components of a completely synthetic pancreas.  ...  Herein, we give a brief overview of current methods used for patient care and discuss two types of possible treatments and the materials used for these therapies-(i) artificial pancreases, comprised of  ...  The signal was also accurate according to the Clark Error Grid, a standard diagram metric for the accuracy of glucose sensors.  ... 
doi:10.1002/adhm.201200037 pmid:23184741 pmcid:PMC3899887 fatcat:v2d5ab4xofbiln664xg7f5ajh4

Pre-Meeting Workshops Agenda

2013 Journal of Diabetes Science and Technology  
In Vitro Calibration and Accuracy for a Long-Term Implantable, Fluorescent-Based Wireless Glucose Sensor Objective: We present the in vitro calibration and accuracy of a fluorescence-based glucose sensor  ...  The subcutaneous sensor communicates with a body-worn external reader that reports the sensor glucose to the patient.  ...  A Cost-Weighted Metric for Evaluating the Analytical and Clinical Accuracy of Glucose Sensors Oksana Tymchyshyn, PhD; David Graff, PhD; Andrew Dehennis, PhD Sensors for Medicine and Science Inc.  ... 
doi:10.1177/193229681300700132 pmid:29671623 pmcid:PMC3692209 fatcat:jehtflmh2jfaho42jiw4sz7o6y

The "Catalyst to Better Diabetes Care Act of 2007"

David C. Klonoff
2008 Journal of Diabetes Science and Technology  
Using this rich data set we created rules, such as grouping closely timed BGs, to increase the validity of the analyses.  ...  The second type of device is based on polycatalytic-DNA enzyme assemblies with phosphodiesterase activity, which releases such conjugates through a cleavage reaction.  ...  of Postprandial and Preprandial Calibration in the Accuracy of Real-Time ...  ... 
doi:10.1177/193229680800200201 pmid:19885363 pmcid:PMC2771484 fatcat:htkqbeadrfbfzfynzvzp2k4dyi

From In- to Out-patient Artificial Pancreas Studies: Results And New Developments

Simone Del Favero, Lalo Magni, Boris Kovatchev, Claudio Cobelli
2014 IFAC Proceedings Volumes  
The next step in the AP development is testing safety and efficacy of AP in a real-life scenario, outside the hospital environment and free of strict protocol prescriptions.  ...  To ensure the highest level of patient safety, these studies usually employed very structured protocols and subcutaneous glucose measurements were accompanied by frequent and accurate blood glucose measurements  ...  Results presented in this paper have been obtained using a Kalman-filter based SSM that computes a real-time estimate of the patient's metabolic state based on CGM and insulin infusion data.  ... 
doi:10.3182/20140824-6-za-1003.02514 fatcat:sz3sezpgo5e5vjcm6sscng53ua
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