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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
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
This conference provides an exchange of technical topics in the fields of Solid State Modulators and Switches, Breakdown and Insulation, Compact Pulsed Power Systems, High Voltage Design, High Power Microwaves, Biological Applications, Analytical Methods and Modeling, and Accelerators.
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.
Artificial Intelligence, Control and Systems, Cyber-physical Systems, Energy and Environment, Industrial Informatics and Computational Intelligence, Robotics, Network and Communication Technologies, Power Electronics, Signal and Information Processing
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, ...
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.
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.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
IT Professional, 2017
In insulin-dependent diabetes mellitus (IDDM) therapy, a suitable insulin dosage taken at the appropriate times is needed for each patient to sustain the necessary blood-glucose level for his or her body. In this article, a datastream mining approach is proposed that can computationally derive real- time decision rules for formulating IDDM therapy based on insulin prescription records and patients' blood-glucose ...
IEEE Pulse, 2018
The idea is a compelling one: a device that looks and feels like an ordinary contact lens but that can continuously monitor a variety of health indicators. For a diabetic, such a lens might update blood glucose levels and, using a built-in flashing LED indicator light, signal when a condition needs attention. Diabetic patients might be saved from the need ...
2009 International Conference for Technical Postgraduates (TECHPOS), 2009
Type 2 diabetes is one of the major risk factor for microvascular and coronary artery disease(CAD). Therefore, recurrent monitoring of arterial condition is essential. The photoplethysmogram (PPG) technique is a simple and cost effective technique in measuring blood volume change. Second derivative of photoplethysmogram (SDPPG) which is one of the applications of PPG was used for monitoring the arterial condition. ...
2015 11th International Conference on Natural Computation (ICNC), 2015
The design of fuzzy membership functions is the key to fuzzy support vector machines. The fuzzy membership functions of traditional fuzzy support vector machines are based on the distances between the samples and the class center. However, it is easily affected by the sample points distribution. To alleviate this problem, in this paper, we proposed a new design of fuzzy ...
2009 IEEE 22nd International Conference on Micro Electro Mechanical Systems, 2009
We present a MEMS sensor for continuous glucose monitoring for diabetes management. The device consists of a microcantilever, which is driven by remote magnetic field and situated in a microchamber separated from the sensing environment by a semi-permeable membrane. As glucose concentration varies, viscosity changes induced by glucose/copolymer binding in a poly (acrylamide-ran-3-acrylamidophenylboronic acid) (PAA-ran-PAAPBA) copolymer solution produce a measurable ...
In insulin-dependent diabetes mellitus (IDDM) therapy, a suitable insulin dosage taken at the appropriate times is needed for each patient to sustain the necessary blood-glucose level for his or her body. In this article, a datastream mining approach is proposed that can computationally derive real- time decision rules for formulating IDDM therapy based on insulin prescription records and patients' blood-glucose reactions. Decision rules are based on the latest health conditions, which are monitored continuously from the patient rather than from a historical data archive of a population accumulated over years. Hence, the rules are adaptive and more accurately predict whether a medical implication will occur, given that glucose levels fluctuate under different medical effects, such as lifestyle changes, medication type, or other external factors. A computer simulation experiment is conducted for evaluating the most suitable datastream algorithms with respect to accuracy and speed.
The idea is a compelling one: a device that looks and feels like an ordinary contact lens but that can continuously monitor a variety of health indicators. For a diabetic, such a lens might update blood glucose levels and, using a built-in flashing LED indicator light, signal when a condition needs attention. Diabetic patients might be saved from the need for repeated finger prick tests and could be monitored for longer periods of time and for a greater variety of parameters at once.
Type 2 diabetes is one of the major risk factor for microvascular and coronary artery disease(CAD). Therefore, recurrent monitoring of arterial condition is essential. The photoplethysmogram (PPG) technique is a simple and cost effective technique in measuring blood volume change. Second derivative of photoplethysmogram (SDPPG) which is one of the applications of PPG was used for monitoring the arterial condition. Informal method SDPPG which substitutes the formal SDPPG aging index (SDPPG-AI) has been selected as an appropriate method to be applied. Test on twenty-three diabetic patients showed higher index of vascular aging compared to healthy subject.
The design of fuzzy membership functions is the key to fuzzy support vector machines. The fuzzy membership functions of traditional fuzzy support vector machines are based on the distances between the samples and the class center. However, it is easily affected by the sample points distribution. To alleviate this problem, in this paper, we proposed a new design of fuzzy membership function. The new method calculated fuzzy membership values based on the collaborative representation coefficients among the sample points. Experimental results show that the new method achieves higher accuracy which verifies its effectiveness.
We present a MEMS sensor for continuous glucose monitoring for diabetes management. The device consists of a microcantilever, which is driven by remote magnetic field and situated in a microchamber separated from the sensing environment by a semi-permeable membrane. As glucose concentration varies, viscosity changes induced by glucose/copolymer binding in a poly (acrylamide-ran-3-acrylamidophenylboronic acid) (PAA-ran-PAAPBA) copolymer solution produce a measurable change in cantilever vibration. The device has been used to measure physiologically relevant glucose concentrations from 0 to 324 mg/dL. The response time of the sensor to glucose concentration changes was 3 minutes and can be further improved with optimized device designs.
Deciphering the underlying mechanisms of all complex interactions involved in different signaling pathways is a pivotal step in the dissection and study of network-based data. Heuristic statistical solutions are conventionally used across the world to derive a meaningful perspective of the network based data by identifying related biological networks. However, classical pathway analysis gives us elusive results by ignoring important aspects of biology. To overcome the limitations of the classical analysis, we have implemented systems biology approach which includes enrichment analysis of Alzheimer's disease (AD) gene set and topological enrichment analysis. Exploration of pathway ranking and regression analysis on the basis of XD-Score and Fisher-q value is also elucidated. Topology-based enrichment studies gave us insight on important parameters such as shortest path length, node betweenness, degree, clustering coefficient, eigenvector centrality and their association in AD based statistical score which turned out to be significantly high (5.062) at a significant threshold (0.74). A linear fit in regression plot and enrichment in associated gene pathways were observed.
The main objective of this work was to enable quality improvement of diabetes services through better monitoring of clinical care in countries of the Black Sea area. We have created a diabetes health record system based on the Good European Health Record (GEHR). Diabetes has served as a prototype for development of a model for chronic illness care. This architecture provides a common data structure for electronic health care records (EHCRs), taking into account ethical, legal, security and educational requirements. A wide range of data types (including laboratory data, photographs, bio-signals, etc.), created in many sources can be recorded. The system offers support for the process of clinical care and medical education. The BSTD (Black Sea Tele Diab) system was developed using a modular design and object-oriented method approach. The Patient Records function offers options for the management of the EHCRs (creation/correction/visualization), such as registration of a new patient and recording of his/her first basic information sheet; the recording of a new sheet; the correction/visualization of the sheet; the recording of data about the patient's death, etc. The System Administration function allows: the definition of the health care facility; the management of people who use the system or fill in the sheets; the management of passwords and access rights for the users; the management of units used for measurement; and the management of the interface of the system. The system is currently undergoing formal clinical evaluation in diabetes centers from Romania, Ukraine and Moldavia.
Both postprandial hypertriglyceridemia and diabetic gastroparesis are common dysfunctions affecting diabetes mellitus; however, whether diabetic gastroparesis has an influence on postprandial hypertriglyceridemia still remains undetermined. Delayed postprandial hypertriglyceridemia, diabetic gastroparesis, and the possible links between them were investigated using alloxan-induced diabetic mice. After the oral administration of olive oil, delayed and exaggerated postprandial hypertriglyceridemia and diabetic gastroparesis were markedly presented in alloxan-induced diabetic mice. Domperidone shortened the time of triglycerides (TG) peak levels in diabetic mice. After intraperitoneal and intraduodenal administration of olive oil, no delay of TG peak levels occurred in diabetic mice. Simultaneously, serum post- heparin lipoprotein lipase activities significantly decreased just at the time of prolonged and elevated TG peak levels resulting from diabetic gastroparesis, and further deteriorated postprandial hypertriglyceridemia in diabetic mice. The results indicate that diabetic gastroparesis can be one of the important reasons for delayed and exaggerated postprandial hypertriglyceridemia in diabetes mellitus.
Diabetes is one of the major chronic diseases and it often leads to a substantial loss of quality of life. However, complications can be relieved by intensive insulin treatment, which, unfortunately, also increases the frequency severe hypoglycaemia (low blood glucose). In 1959 Somogyi described how insulin overtreatment, leading to hypoglycaemia, can cause prolonged hyperglycaemia (elevated blood glucose), but numerous studies, especially in the 80ies, have not been able to produce significant evidence for his theory. However, in a recent model-based study we have introduced a hypothesis suggesting that the phenomenon is clinically much more important than previously anticipated. The present pilot study assesses the feasibility of employing a computer model to data from a 32 hour intensive monitoring period from 3 patients to infer the reaction to spontaneous hypoglycaemia, thereby contributing to the verification of the hypothesis and to an understanding of the phenomenon. Regarded separately, the number of patients in the present study is far too small to justify any conclusion, but, taken together with our previous studies, there seems to be substantial evidence for the existence of the hypoglycaemic counter-regulation. Furthermore, the present study seems to suggest that cortisol release, triggered by the hypoglycaemic attack, may play an important role in provoking the hypoglycaemic counter-regulation, and that further studies are clearly required to verify this hypothesis.
Heart rate is dependent on a cycle of depolarization and repolarization of the atria and ventricles that is regulated by intrinsic and extrinsic factors. Inhomogeneity in ventricular repolarization, measured as QT interval dispersion (QTd) is likely to lead to arrhythmia. The role of the autonomic nervous system in the development of this inhomogeneity is still uncertain. Autonomic regulation can be measured using the tone-entropy algorithm, which indicates inter-beat interval variation. When a sliding cut-off for QTd was used only the control group had a significant association between QTd and both tone and entropy. This finding suggests that for certain levels of ventricular inhomogeneity, autonomic control becomes more dissociated from intra-beat variation measured by QTd. This may be an early sign of potentially fatal arrhythmia.
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