Insulin

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Insulin is a hormone central to regulating carbohydrate and fat metabolism in the body. (Wikipedia.org)






Conferences related to Insulin

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Insulin

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Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


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Xplore Articles related to Insulin

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Automated Insulin Delivery: Taking the Guesswork out of Diabetes Management

IEEE Pulse, 2018

For individuals with Type 1 or insulin-requiring Type 2 diabetes, new technology may offer something they desperately need, but is now nigh impossible: the ability to maintain ideal blood glucose levels all day, every day.


Technology '88: medical electronics

IEEE Spectrum, 1988

Developments during 1987 are reviewed, namely, the use of movies of the beating heart; increased use of ultrasound; automatic insulin delivery; a laser catheter for cleaning leg arteries of plaque; improved pacemakers; and testing of cochlear devices. An expert opinion is provided by George V. Kondraske, associate professor of electrical and biomedical engineering at the University of Texas at Arlington, ...


A dual mode adaptive basal-bolus advisor based on reinforcement learning

IEEE Journal of Biomedical and Health Informatics, None

Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG or CGM devices to provide personalised suggestions for the daily basal rate and prandial insulin doses on the basis of the patients' glucose level on the ...


DLRT: Deep Learning Approach for Reliable Diabetic Treatment

GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017

Diabetic therapy or insulin treatment enables patients to control the blood glucose level. Today, instead of physically utilizing syringes for infusing insulin, a patient can utilize a gadget, for example, a Wireless Insulin Pump (WIP) to pass insulin into the body. A typical WIP framework comprises of an insulin pump, continuous glucose management system, blood glucose monitor, and other associated ...


Fault Detection in Artificial Pancreas: A Model-Free approach

2018 IEEE Conference on Decision and Control (CDC), 2018

Subjects affected by Type I Diabetes (T1D) are constantly confronted with the complicated problem of administering themselves an adequate amount of insulin, so as to keep their blood-glucose concentration in a nearly physiological range. Recently, powerful technological tools have been developed to better face this challenge, in particular the so-called Artificial Pancreas (AP). Unluckily, the AP actuator, an insulin pump, ...


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Educational Resources on Insulin

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IEEE.tv Videos

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IEEE-USA E-Books

  • Automated Insulin Delivery: Taking the Guesswork out of Diabetes Management

    For individuals with Type 1 or insulin-requiring Type 2 diabetes, new technology may offer something they desperately need, but is now nigh impossible: the ability to maintain ideal blood glucose levels all day, every day.

  • Technology '88: medical electronics

    Developments during 1987 are reviewed, namely, the use of movies of the beating heart; increased use of ultrasound; automatic insulin delivery; a laser catheter for cleaning leg arteries of plaque; improved pacemakers; and testing of cochlear devices. An expert opinion is provided by George V. Kondraske, associate professor of electrical and biomedical engineering at the University of Texas at Arlington, who discusses the growing interest in rehabilitation.<<ETX>>

  • A dual mode adaptive basal-bolus advisor based on reinforcement learning

    Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG or CGM devices to provide personalised suggestions for the daily basal rate and prandial insulin doses on the basis of the patients' glucose level on the previous day. The ABBA is based on reinforcement learning (RL), a type of artificial intelligence, and was validated in silico with an FDA-accepted population of 100 adults under different realistic scenarios lasting three simulated months. The scenarios involve three main meals and one bedtime snack per day, along with different variabilities and uncertainties for insulin sensitivity, mealtime, carbohydrate amount, and glucose measurement time. The results indicate that the proposed approach achieves comparable performance with CGM or SMBG as input signals, without influencing the total daily insulin dose. The results are a promising indication that AI algorithmic approaches can provide personalised adaptive insulin optimisation and achieve glucose control - independently of the type of glucose monitoring technology.

  • DLRT: Deep Learning Approach for Reliable Diabetic Treatment

    Diabetic therapy or insulin treatment enables patients to control the blood glucose level. Today, instead of physically utilizing syringes for infusing insulin, a patient can utilize a gadget, for example, a Wireless Insulin Pump (WIP) to pass insulin into the body. A typical WIP framework comprises of an insulin pump, continuous glucose management system, blood glucose monitor, and other associated devices with all connected wireless links. This takes into consideration more granular insulin conveyance while achieving blood glucose control. WIP frameworks have progressively benefited patients, yet the multifaceted nature of the subsequent framework has posed in parallel certain security implications. This paper proposes a highly accurate yet efficient deep learning methodology to protect these vulnerable devices against fake glucose dosage. Moreover, the proposal estimates the reliability of the framework through the Bayesian network. We conduct comparative study to conclude that the proposed method outperforms the state of the art by over 15% in accuracy achieving more than 93% accuracy. Also, the proposed approach enhances the reliability of the overall system by 18% when only one wireless link is secured, and more than 90% when all wireless links are secured.

  • Fault Detection in Artificial Pancreas: A Model-Free approach

    Subjects affected by Type I Diabetes (T1D) are constantly confronted with the complicated problem of administering themselves an adequate amount of insulin, so as to keep their blood-glucose concentration in a nearly physiological range. Recently, powerful technological tools have been developed to better face this challenge, in particular the so-called Artificial Pancreas (AP). Unluckily, the AP actuator, an insulin pump, is subject to faults, with potential serious consequences for subjects' safety. This calls for the development of advanced fault detection (FD) methods, leveraging the unprecedented data availability in this application. In this paper we tackle the problem of detecting insulin pump malfunctioning using a model-free approach, so that the complex sub-task of identifying a model of patients physiology is avoided. Moreover, we employed unsupervised methods since labeled data are hardly available in practice. The adopted data-driven Anomaly Detection (AD) methods are Local Outlier Factor and Connectivity-based Outlier Factor. The methods are applied on a feature set able to account for the physiological dynamics of T1D patients. The proposed algorithms are tested on a synthetic dataset, generated using the “UVA/Padova Type 1 Diabetic Simulator”, an accurate nonlinear computer simulator of the T1D subject physiology. Both methods show precision ~75% and recall ~60%. The described approach is suitable both for embedding in medical devices, such as the AP, and implementation in cloud-based remote monitoring systems.

  • Intelligent Insulin Pump Design

    Diabetes Mellitus is a disease produced by a lack of insulin. In human beings, if insulin is not given externally, glycemia cannot be regulated correctly. According to several studies, tight control of glycemia reduces the chances of developing the ulterior complications of this disease. Automation of insulin infusion is one of the best ways of glycemic control. It is a goal searched from the 70́s when a first device was developed, the Biostator, a PID based automatic insulin infusion apparatus.Nowadays, this device is called "artificial pancreas". It is compound by a glucose sensor, a control algorithm, and an insulin pump infusion. Till now, control algorithms only could control glycemia around a basal value. Therefore, meal ingestion requires a manually added insulin dose called bolus.Our group has developed several control algorithms that automatize the process completely without supplementary bolus requirements. They are based on differential geometric control techniques whose efficiency has been tested in a simulation environment. These techniques are based on feedback linearization and flatness based control. By these techniques, a nonlinear system becomes a linear and controllable one. In this work, a working prototype of insulin infusion pump is introduced to verify the efficacy of the control algorithms proposed.

  • Insulin Estimation and Prediction: A Review of the Estimation and Prediction of Subcutaneous Insulin Pharmacokinetics in Closed-Loop Glucose Control

    Patients affected by type 1 diabetes (T1D) suffer from lack of insulin secretion by the pancreas, due to the autoimmune destruction of the insulin- producing beta cells. This translates into elevated plasma glucose concentration with deleterious effects in the cardiovascular system, leading to serious long-term complications. With the improvement of continuous glucose monitoring (CGM) technology, a significant amount of research has been focused in the last decade on the development of an artificial pancreas (AP), that is, a closed-loop glucose control system that automatically dispenses insulin. The AP is now closer to reality [1]. An AP system was first approved by the U.S. Food and Drug Administration (FDA) in 2016 [2]. The system still requires user intervention at mealtime, as currently done in openloop insulin pump therapy, to administer an insulin bolus based on carbohydrate counting (a hybrid closed-loop system).

  • Securing Insulin Pump System Using Deep Learning and Gesture Recognition

    Modern medical devices are equipped with radio communication chips enabling medical practitioners to remotely and continuously monitor patient's health. The conjunction of these medical devices with the radio communication chips and their internet connectivity exposes them to security and privacy risks. The insulin pump system is an autonomous, wearable external device, commonly used by diabetic patients to take insulin efficiently, as compared to manual injection through a syringe. Security attacks may disrupt the working of insulin pump system by delivering the lethal dose to patients and endanger their lives. In this paper, we ensure the correct dosing process of insulin pump system based on the combination of deep learning model and gestures performed by the patient. Specifically, we used Long Short-Term Memory (LSTM) recurrent neural network to predict the thresh hold value of insulin based on last three months log of insulin pump system. If the amount of insulin to be injected by the insulin pump system is greater than our predicted thresh hold amount, then our system asks the patient to perform the gesture. After successful recognition of the patient's gesture, our solution compares the suspicious value of insulin with patient's gesture and identifies an attack.

  • An RF-driven lightweight implantable insulin pump

    Lightweight wireless implantable insulin pumps are highly desired by Type 1 Diabetes patients. This study reports the development of a polypyrrole- electroactuated micropump equipped with a non-fouling catheter tip. It can generate a consistent volumetric output of 16 μL at an RF power of 1.2 mW, supplied by an integrated wireless harvester. This motor-and-battery-free design significantly improves the pump's adoptability and biocompatibility.

  • Design of an Embedded Controller for Next Generation Low Cost Insulin Pump

    Diabetic Mellitus (DM) can greatly reduce the patient's quality of life if left untreated. Traditional insulin infusion techniques involving a syringe and needle is impractical and unpleasant. Insulin pumps are a great alternative to achieve ease of use and personal comfort. An existing low cost insulin pump is further modified to have additional features to improve user experience. The pump is highly precise delivering accurate quantities of insulin irrespective of external conditions. The design aspects and architecture of the insulin pump is presented here.



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