Literature DB >> 8857314

Monitoring set-up for selection of parameters for detection of hypoglycaemia in diabetic patients.

G Heger1, K Howorka, H Thoma, G Tribl, J Zeitlhofer.   

Abstract

Recurrent severe hypoglycaemia is often an unsolved problem in diabetic patients under intensified insulin treatment. As no reliable long-term stable blood glucose sensor has yet been developed, registration of other body function changes could help to detect severe hypoglycaemia. A measuring system is described, capable on the one hand of recording EEG, heart rate, peripheral pulse, skin temperature, respiratory movements, skin impedance and arterial blood pressure, and capable of registering plasma glucose, counter-regulatory hormones, symptoms and cognitive performance under experimental conditions during hypoglycaemia, on the other. In a clinical study involving both insulin-induced hypoglycaemia in healthy subjects and insulin-dependent diabetic patients, the practical value and the character of changes of the recorded parameters are investigated. Currently insensitivity to hypoglycaemia, impracticability, complexity or susceptibility to artefacts make use of most parameters unsuitable for hypoglycaemia prevention. It is believed, however, that future efforts could result in indirect registration of hypoglycaemia, including a qualified combination of different parameters, individual adaptation in accordance with particular responses of individual patients, together with new measuring and sensor techniques.

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Year:  1996        PMID: 8857314     DOI: 10.1007/bf02637024

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  24 in total

Review 1.  Towards implantable glucose sensors: a review.

Authors:  E S Wilkins
Journal:  J Biomed Eng       Date:  1989-09

Review 2.  Hypoglycemia, brain metabolism, and brain damage.

Authors:  B K Siesjö
Journal:  Diabetes Metab Rev       Date:  1988-03

3.  Electroencephalography and visually evoked potentials during moderate hypoglycemia.

Authors:  G Tamburrano; A Lala; N Locuratolo; F Leonetti; P Sbraccia; A Giaccari; S Busco; S Porcu
Journal:  J Clin Endocrinol Metab       Date:  1988-06       Impact factor: 5.958

4.  The effect of hypoglycaemia on visual function: a clinical and electrophysiological study.

Authors:  R A Harrad; C S Cockram; A P Plumb; S Stone; P Fenwick; P H Sönksen
Journal:  Clin Sci (Lond)       Date:  1985-12       Impact factor: 6.124

5.  Epidemiology of severe hypoglycemia in the diabetes control and complications trial. The DCCT Research Group.

Authors: 
Journal:  Am J Med       Date:  1991-04       Impact factor: 4.965

Review 6.  Lilly lecture 1988. Glucose counterregulation and its impact on diabetes mellitus.

Authors:  J E Gerich
Journal:  Diabetes       Date:  1988-12       Impact factor: 9.461

Review 7.  Progress review: hypoglycemic brain damage.

Authors:  R N Auer
Journal:  Stroke       Date:  1986 Jul-Aug       Impact factor: 7.914

8.  Cognitive function in type 1 (insulin-dependent) diabetic patients after nocturnal hypoglycaemia.

Authors:  I Bendtson; J Gade; A Theilgaard; C Binder
Journal:  Diabetologia       Date:  1992-09       Impact factor: 10.122

9.  Teledyne Sleep Sentry: evaluation in pediatric patients for detection of nocturnal hypoglycemia.

Authors:  K A Hansen; S C Duck
Journal:  Diabetes Care       Date:  1983 Nov-Dec       Impact factor: 19.112

10.  Counterregulatory hormonal responses to hypoglycaemia in type 1 (insulin-dependent) diabetes: evidence for diminished hypothalamic-pituitary hormonal secretion.

Authors:  B M Frier; B M Fisher; C E Gray; G H Beastall
Journal:  Diabetologia       Date:  1988-07       Impact factor: 10.122

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  3 in total

Review 1.  Hypo- and Hyperglycemic Alarms: Devices and Algorithms.

Authors:  Daniel Howsmon; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2015-04-30

Review 2.  Hypoglycemia-Induced Changes in the Electroencephalogram: An Overview.

Authors:  Lykke Blaabjerg; Claus B Juhl
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

3.  Statistical and spectral analysis of ECG signal towards achieving non-invasive blood glucose monitoring.

Authors:  Igbe Tobore; Jingzhen Li; Abhishek Kandwal; Liu Yuhang; Zedong Nie; Lei Wang
Journal:  BMC Med Inform Decis Mak       Date:  2019-12-19       Impact factor: 2.796

  3 in total

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