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Blood glucose control algorithms for type 1 diabetic patients: A methodological review
2013
Biomedical Signal Processing and Control
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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
2020
Proceedings of the 18th Conference on Embedded Networked Sensor Systems
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., <$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
2012
International Journal of Intelligent Systems and Applications
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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
2002
Diabetologia
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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
2017
International Journal of Innovative Research in Computer Science & Technology
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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
2022
Frontiers in Bioengineering and Biotechnology
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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?
1999
Diabetes Technology & Therapeutics
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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
2014
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
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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
2007
IFAC Proceedings Volumes
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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
2012
Journal of Sports Science and Medicine
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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]
2021
arXiv
pre-print
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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
2019
Journal of Healthcare Informatics Research
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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
2013
Current opinion in clinical nutrition and metabolic care
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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
2015
Journal of Medical Signals & Sensors
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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
2009
Optimal control applications & methods
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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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