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Blood glucose control algorithms for type 1 diabetic patients: A methodological review

Katrin Lunze, Tarunraj Singh, Marian Walter, Mathias D. Brendel, Steffen Leonhardt
2013 Biomedical Signal Processing and Control  
Modeling the effect of glucose ingestion as an external disturbance on the time evolution of blood glucose concentration, is now the norm for the control community.  ...  This review compares recent control algorithms for type 1 diabetic patients which automatically connect continuous glucose monitoring and insulin injection, without patient intervention.  ...  At the moment, insulin-dependent diabetic patients face the daily challenge of manually controlling their blood glucose concentration as shown in Fig. 1 .  ... 
doi:10.1016/j.bspc.2012.09.003 fatcat:qcoy3zqpkrfpfojuf5v7sdci3y

Noninvasive glucose monitoring using polarized light

Tianxing Li, Derek Bai, Temiloluwa Prioleau, Nam Bui, Tam Vu, Xia Zhou
2020 Proceedings of the 18th Conference on Embedded Networked Sensor Systems  
., <$250) prototype using off-the-shelf hardware. We evaluate our system with 41 diabetic patients and 9 healthy participants. In comparison to a continuous glucose monitor approved by U.S.  ...  The primary innovation of our system is the ability to minimize light scattering from the skin and extract weak changes in light polarization to estimate glucose concentration, all using lowcost hardware  ...  Richard Comi at DHMC for helping us conduct experiments with diabetic patients. This work is supported in part by National Science Foundation (CNS-1552924 and SenSE-2037267).  ... 
doi:10.1145/3384419.3430720 dblp:conf/sensys/LiBPBVZ20 fatcat:alpi22xfwjgczawgfpbbr4bq34

Evaluation of Using a Recurrent Neural Network (RNN) and a Fuzzy Logic Controller (FLC) In Closed Loop System to Regulate Blood Glucose for Type-1 Diabetic Patients

Fayrouz Allam, Zaki Nossair, Hesham Gomma, Ibrahim Ibrahim, Mona Abdelsalam
2012 International Journal of Intelligent Systems and Applications  
Type-1 diabetes is a disease characterized by high blood-glucose level. Using a fully automated closed loop control system improves the quality of life for type1 diabetic patients.  ...  meal, (e) 10% decreasing in the second meal, (f) 5% increasing in the sensitivity, (g) 40% increasing in the sensitivity In Closed Loop System to Regulate Blood Glucose for Type-1 Diabetic Patients  ...  In these closed-loop systems, patients must use subcutaneous insulin in jection or continuous insulin infusion, comb ined with infrequent blood glucose measurements, to regulate their blood glucose concentration  ... 
doi:10.5815/ijisa.2012.10.07 fatcat:pqsk5f3tjbgtjhoxy65zcjet44

Beyond postprandial hyperglycaemia: metabolic factors associated with cardiovascular disease

R. J. Heine, J. M. Dekker
2002 Diabetologia  
The Dutch Diabetes Research Foundation and Roche Diagnostics, Mannheim, Germany supported a few studies mentioned in the manuscript. We thank Dr F. de Vegt and M.  ...  Diamant for their contributions and critical comments on earlier drafts of this review.  ...  The IMT of the carotid artery has been shown to be predictive of incident coronary heart disease in non-diabetic populations and in Japanese Type II diabetic patients [69±72].  ... 
doi:10.1007/s00125-001-0726-0 pmid:12032622 fatcat:yccfc4syozcs5icx7wnwivscbm

A Survey on Technologies Used in Glucose Monitoring for Diabetic Patients

G. Sharmila, R. Sushmitha, R. Geetha
2017 International Journal of Innovative Research in Computer Science & Technology  
In the modern lifestyle many people are susceptible to Diabetes Mellitus (DM).The management and monitoring of DM is a challenge for the diabetic patients.  ...  This paper surveys about the various methods used in self-monitoring of blood glucose levels pervasively. The devices used for self-monitoring of glucose level are also discussed in this survey.  ...  I. INTRODUCTION Diabetes Mellitus (DM), [3] which is commonly known as diabetes is a metabolic disease in which there are high blood glucose levels over a long period.  ... 
doi:10.21276/ijircst.2017.5.2.6 fatcat:lmdu6sjygbdlfhc5qzntkf7uzq

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection

Ahmad Yaser Alhaddad, Hussein Aly, Hoda Gad, Abdulaziz Al-Ali, Kishor Kumar Sadasivuni, John-John Cabibihan, Rayaz A. Malik
2022 Frontiers in Bioengineering and Biotechnology  
Diabetes mellitus is characterized by elevated blood glucose levels, however patients with diabetes may also develop hypoglycemia due to treatment.  ...  Finally, we address the key limitations and challenges of these studies and provide recommendations for future work.  ...  wearable Tested with 14 patients with type 2 Reported accurate prediction of No testing with patients with type 1 ring diabetes blood glucose levels diabetes Xiao et al. (2019) Sweat glucose wearable  ... 
doi:10.3389/fbioe.2022.876672 pmid:35646863 pmcid:PMC9135106 fatcat:slap53kqwjh4ja5r7rakjdvc3e

Diabetes Simulators: Ready for Prime Time?

Darrell M. Wilson
1999 Diabetes Technology & Therapeutics  
Normal beta cells within the pancreas modulate insulin secretion, responding in minutes to small changes in blood glucose concentrations.  ...  With some patient-specific information, shouldn't we be able to accurately predict the glucose concentrations resulting from various dietary and insulin regimens?  ... 
doi:10.1089/152091599317576 pmid:11475305 fatcat:26cvdd64s5be3ozwk4dn4mvw4q

Generalised stochastic model for characterisation of subcutaneous glucose time series

Natasha Khovanova, Yan Zhang, Tim A. Holt
2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)  
2014) Generalised stochastic model for characterisation of subcutaneous glucose time series.  ...  in the group of patients with Type II diabetes) were available for the study.  ...  RESULTS AND DISCUSSION Fifteen glucose profiles for three categories of people (5 profiles in control group of people without diabetes, 4 profiles in the group of patients with Type I diabetes, 5 profiles  ... 
doi:10.1109/bhi.2014.6864408 dblp:conf/bhi/KhovanovaZH14 fatcat:lx35lka6h5ea5l54rcu7crdybi

PREDICTIVE CONTROL OF BLOOD GLUCOSE CONCENTRATION IN TYPE-I DIABETIC PATIENTS USING LINEAR INPUT-OUTPUT MODELS

Srinivas Karra, Nazmul M. Karim, Binbing Han
2007 IFAC Proceedings Volumes  
A data based model predictive control with state and disturbance estimation has been developed to control the blood glucose concentration in the type-I diabetic patients in the presence of meal disturbances  ...  Intra-and inter-patient variability poses a challenging task to control blood glucose concentration in diabetic patients.  ...  FIGURE 1 . 1 Compartmental diagram of the glucose and insulin system in diabetic patient model FIGURE 2 . 2 Variation in blood glucose concentration with respect to the variation in metabolic parameters  ... 
doi:10.3182/20070604-3-mx-2914.00027 fatcat:bswrqlwykbfdfb6jmhhyh5diau

Effects of six months of combined aerobic and resistance training for elderly patients with a long history of type 2 diabetes

Sijie Tan, Wei Li, Jianxiong Wang
2012 Journal of Sports Science and Medicine  
Concentrations of fasting and 2-hour post-glucose challenge plasma glucose and serum insulin, and glycosylated hemoglobin decreased significantly in the exercise group.  ...  The current results demonstrate that elderly patients with a long history of type 2 diabetes can benefit from the 6-month combined aerobic and resistance training program.  ...  Acknowledgement This study was supported by the Chinese National Science and Technology Support Program (2012BAK21B03). The authors declared no conflict of interest.  ... 
pmid:24149359 pmcid:PMC3737933 fatcat:qkth3ljkfrdwjaac3npnyvv6zq

Everything You Wanted to Know About Noninvasive Glucose Measurement and Control [article]

Prateek Jain, Amit M. Joshi, Saraju Mohanty
2021 arXiv   pre-print
Diabetes is a chronicle disease where the body of a human is irregular to dissolve the blood glucose properly. The diabetes is due to lack of insulin in human body.  ...  The continuous monitoring of blood glucose is main important aspect for health care. Most of the successful glucose monitoring devices is based on methodology of pricking of blood.  ...  The model is proposed mathematically for blood glucose value prediction in the postprandial mode for type 1 diabetes patients [195] , [196] .  ... 
arXiv:2101.08996v2 fatcat:47242ebgbjb4datsri7khmzj5u

Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks

John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren
2019 Journal of Healthcare Informatics Research  
Many factors affect blood glucose levels in type 1 diabetics, several of which vary largely both in magnitude and delay of the effect.  ...  In this paper, we present an approach for predicting blood glucose levels for diabetics up to 1 h into the future.  ...  The authors would like to thank Christian Meijner and Simon Persson who performed early experiments in this project. Compliance with Ethical Standards  ... 
doi:10.1007/s41666-019-00059-y pmid:35415439 pmcid:PMC8982803 fatcat:h2vm2ttczvfddlekcxqmwqrcvu

Monitoring states of altered carbohydrate metabolism via breath analysis

Newsha Dowlaty, Amanda Yoon, Pietro Galassetti
2013 Current opinion in clinical nutrition and metabolic care  
Blood testing for plasma glucose and other metabolic variables is the base for the diagnosis and management of diabetes, whose two main types (type 1 and type 2, T1DM, T2DM) are projected to affect 450  ...  To introduce the potential of breath analysis as a diagnostic or monitoring tool in diabetes.  ...  The project described was supported by the National Center for Research Resources, the National Center for Advancing Translational Sciences, and the National Institute of Diabetes and Digestive and Kidney  ... 
doi:10.1097/mco.0b013e328361f91f pmid:23739629 pmcid:PMC4060961 fatcat:e4ori6qaqrbrrjfpkqb6bc2i2i

Regulation of blood glucose concentration in type 1 diabetics using single order sliding mode control combined with fuzzy on-line tunable gain, a simulation study

Maryam Zekri, SoudabehTaghian Dinani, Marzieh Kamali
2015 Journal of Medical Signals & Sensors  
Therefore, tight control of blood glucose levels has gained significant attention over the decades. This paper proposes a method for blood glucose level regulation in type 1 diabetics.  ...  As a result, this method can decline the risk of hypoglycemia, a lethal phenomenon in regulating blood glucose level in diabetics caused by a low blood glucose level.  ...  This method can stabilize the blood glucose concentration of a type 1 diabetic individual at the desired level.  ... 
doi:10.4103/2228-7477.161463 pmid:26284169 pmcid:PMC4528351 fatcat:pxbugzccuffmjo2tehv62qr3zy

A switching control strategy for the attenuation of blood glucose disturbances

Mihalis G. Markakis, Georgios D. Mitsis, George P. Papavassilopoulos, Petros A. Ioannou, Vasilis Z. Marmarelis
2009 Optimal control applications & methods  
The results show that the proposed switching control strategy can regulate blood glucose much better than the proportional-derivative controller for all the different types of diabetic patients examined  ...  In this computational study we consider a generalized minimal model structure for the intravenously infused insulin-blood glucose dynamics, which can represent a wide variety of diabetic patients, and  ...  Without changing its parameter values, the SCS can deal with Type 1 diabetes, Type 2 diabetes and ICU cases without degradation in performance or risk of the patients' safety.  ... 
doi:10.1002/oca.900 pmid:21516241 pmcid:PMC3081193 fatcat:ekkg67safvezjbrdfnxk2wxuuq
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