Journal of Electrical and Computer Engineering

Electrical and Computer Technology for Effective Diabetes Management and Treatment


Publishing date
01 Dec 2011
Status
Published
Submission deadline
01 Jun 2011

Lead Editor

1Scotsig, 40 Westbourne Gardens, Glasgow G12 9PF, UK

2Departamento de Electronica, Facultad de Ingenieria, Pontificia Universidad Javeriana, Carrera 7, No. 40–62, Edificio Maldonado 4 Piso, Bogota, Colombia

3ATEEDA, 24 Canning Street, Edinburgh EH3 8EG, UK

4Ospedale S. Giuseppe, Via XXIV Maggio, Marino, 00047 Roma, Italy

5Advanced Metabolic Care + Research, 700 West El Norte Parkway, Escondido, CA 92026, USA


Electrical and Computer Technology for Effective Diabetes Management and Treatment

Description

Diabetes, which is characterized by elevated blood glucose levels (BGLs), affects more than 250 million people globally, making it one of the major chronic medical conditions prevailing today. Expert short-term management is essential to delay or prevent serious long-term complications occurring, such as blindness, amputations, heart disease, and kidney failure. Life-threatening short-term complications can also occur due to both very low BGLs (hypoglycaemia) and very high BGLs (ketoacidosis or hyperosmolar coma).

Technology now plays an increasing role in diabetes management. Electronic BGL meters, insulin delivery systems, advanced retinal imaging technologies, and sophisticated orthotic design methods have revolutionized day-to-day management and improved the prognosis for many people with diabetes. Artificial intelligence (AI) software advisory and educational packages hold the potential to do even more. This special issue will address current and proposed technologies for diabetes healthcare and will act as an international forum for researchers to summarize their most recent developments and ideas in the field, particularly over the last five years. Main topics include, but are not limited to:

  • Blood glucose meter, including invasive and noninvasive devices, and meters with artificial intelligence for improved dosing recommendations and also AI modeling and educational and advisory software
  • Insulin delivery systems including pump technology that assist users toward improved physiologic short-term and long-term BGL management
  • Methods which combine a continuous BGL sensor, insulin pump, and control algorithm for creation of an artificial pancreas
  • Retinal screening procedures involving advanced imaging technologies and algorithms
  • Advanced therapeutic devices or approaches such as photocoagulation or laser technology for treating retinopathy
  • Sophisticated CAD/CAM orthotic and shoe design techniques to prevent diabetic foot damage through ulceration and improve mobility
  • Sophisticated electronic lancing techniques for obtaining blood samples
  • Communication protocols and systems for implementing a robust and effective telediabetes infrastructure

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/jece/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2011
  • - Article ID 289359
  • - Editorial

Electrical and Computer Technology for Effective Diabetes Management and Treatment

William A. Sandham | Eldon D. Lehmann | ... | John Walsh
  • Special Issue
  • - Volume 2011
  • - Article ID 953064
  • - Research Article

Regression Methods for Ophthalmic Glucose Sensing Using Metamaterials

Philipp Rapp | Martin Mesch | ... | Cristina Tarín
  • Special Issue
  • - Volume 2011
  • - Article ID 728540
  • - Research Article

Quasi-Model-Based Control of Type 1 Diabetes Mellitus

András György | Levente Kovács | ... | Zoltán Benyó
  • Special Issue
  • - Volume 2011
  • - Article ID 136936
  • - Research Article

Diabetic Foot Prevention: Repeatability of the Loran Platform Plantar Pressure and Load Distribution Measurements in Nondiabetic Subjects during Bipedal Standing—A Pilot Study

Martha Zequera | Leonardo Garavito | ... | Ana Cecilia Villa
  • Special Issue
  • - Volume 2011
  • - Article ID 697543
  • - Research Article

Time-Varying Procedures for Insulin-Dependent Diabetes Mellitus Control

R. S. Sánchez Peña | A. S. Ghersin | F. D. Bianchi
  • Special Issue
  • - Volume 2011
  • - Article ID 681786
  • - Research Article

Blood Glucose Prediction Using Artificial Neural Networks Trained with the AIDA Diabetes Simulator: A Proof-of-Concept Pilot Study

Gavin Robertson | Eldon D. Lehmann | ... | David Hamilton
  • Special Issue
  • - Volume 2011
  • - Article ID 427196
  • - Research Article

Development of AIDA v4.3b Diabetes Simulator: Technical Upgrade to Support Incorporation of Lispro, Aspart, and Glargine Insulin Analogues

Eldon D. Lehmann | Cristina Tarín | ... | Tibor Deutsch
Journal of Electrical and Computer Engineering
 Journal metrics
Acceptance rate17%
Submission to final decision94 days
Acceptance to publication44 days
CiteScore0.690
Impact Factor-
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