Literature DB >> 21537854

Data capture of transdermal glucose monitoring through computerized appliance-based virtual remote sensing and alert systems.

Robert Jameson1, Daniel Lorence, Jennifer Lin.   

Abstract

Monitoring of blood glucose levels is important to persons with diabetes or pre-diabetic, abnormal glucose indications. Such individuals must determine when insulin is needed to reduce glucose levels in their bodies, or when additional glucose must be administered to raise levels. A conventional technique used by many diabetics to personally monitor their glucose level includes the periodic drawing of blood, the application of blood to a test strip, and determination of blood glucose level using calorimetric, electrochemical, or photometric detection. This technique does not permit continuous or automatic monitoring of levels in the body, but typically must be performed manually, and on a periodic basis. Unfortunately, checking consistency varies widely among individuals, where wide variation of high or low levels of glucose or other analytes may have detrimental effects. The ongoing capture of data through continuous and/or automatic in vivo monitoring of analyte levels, and its inclusion with a user-friendly computer interface, is now possible using a subcutaneous implanted sensor. Such devices are small and comfortable when used, allowing a wide range of life activities. In this technology review we propose one promising model using a combination of emerging, systems-based technologies in non-invasive analyte monitoring, as integrated within household-based health monitoring using home appliances.

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Year:  2011        PMID: 21537854     DOI: 10.1007/s10916-011-9686-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  5 in total

1.  A magnetostatic-coupling based remote query sensor for environmental monitoring.

Authors:  C A Grimes; P G Stoyanov; Y Liu; C Tong; K G Ong; K Loiselle; M Shaw; S A Doherty; W R Seitz
Journal:  J Phys D Appl Phys       Date:  1999       Impact factor: 3.207

2.  Multi-analyte assay for triazines using cross-reactive antibodies and neural networks.

Authors:  Sabine Reder; Frank Dieterle; Hendrikus Jansen; Susan Alcock; Günter Gauglitz
Journal:  Biosens Bioelectron       Date:  2003-12-30       Impact factor: 10.618

3.  Diffractive optic sensor for remote-point detection of ammonia.

Authors:  M Vasileiadis; L Athanasekos; A Meristoudi; D Alexandropoulos; G Mousdis; V Karoutsos; A Botsialas; N A Vainos
Journal:  Opt Lett       Date:  2010-05-01       Impact factor: 3.776

4.  Development of the Wireless Instantaneous Neurotransmitter Concentration System for intraoperative neurochemical monitoring using fast-scan cyclic voltammetry.

Authors:  Jonathan M Bledsoe; Christopher J Kimble; Daniel P Covey; Charles D Blaha; Filippo Agnesi; Pedram Mohseni; Sidney Whitlock; David M Johnson; April Horne; Kevin E Bennet; Kendall H Lee; Paul A Garris
Journal:  J Neurosurg       Date:  2009-10       Impact factor: 5.115

5.  Position-independent chemical quantitation with passive 13.56-MHz radio frequency identification (RFID) sensors.

Authors:  Radislav A Potyrailo; Henri Mouquin; William G Morris
Journal:  Talanta       Date:  2007-06-28       Impact factor: 6.057

  5 in total
  2 in total

1.  Noninvasive blood glucose sensing using near infra-red spectroscopy and artificial neural networks based on inverse delayed function model of neuron.

Authors:  Swathi Ramasahayam; Sri Haindavi Koppuravuri; Lavanya Arora; Shubhajit Roy Chowdhury
Journal:  J Med Syst       Date:  2014-12-11       Impact factor: 4.460

2.  Developing a real time electrocardiogram system using virtual bio-instrumentation.

Authors:  Khalifa Elmansouri; Rachid Latif; Boujamaa Nassiri; Fadel Mrabih Rabou Maoulainine
Journal:  J Med Syst       Date:  2014-04-05       Impact factor: 4.460

  2 in total

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