Automated detection of hypoglycemia-induced EEG changes recorded by subcutaneous electrodes in subjects with type 1 diabetes—The brain as a biosensor

Juhl, Claus Bogh; Højlund, Kurt; Elsborg, Rasmus; Poulsen, Mikael Kjær; Selmar, P.; Holst, Jens J.; Christiansen, Claus; Beck‐Nielsen, Henning

doi:10.1016/j.diabres.2010.01.007

Cited by 55 publications

(49 citation statements)

References 19 publications

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“…5 A number of studies have further characterized the EEG changes associated with hypoglycemia. [6][7][8][9][10] Some discrepancy exists with respect to the spatial location of the EEG changes and the persistence of these changes after restoration of euglycemia.…”

Section: Introductionmentioning

confidence: 99%

Hypoglycemia-Related Electroencephalogram Changes are Independent of Gender, Age, Duration of Diabetes, and Awareness Status in Type 1 Diabetes

Remvig¹,

Elsborg²,

Sejling³

et al. 2012

J Diabetes Sci Technol

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Section: Introductionmentioning

confidence: 99%

Hypoglycemia-Related Electroencephalogram Changes are Independent of Gender, Age, Duration of Diabetes, and Awareness Status in Type 1 Diabetes

Remvig¹,

Elsborg²,

Sejling³

et al. 2012

J Diabetes Sci Technol

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“…In a recent study, EEG was used as the physiological parameters to detect hypoglycemia [12]. Although this study has produced a real-time system that can detect hypoglycemia, it used implanted electrodes to record EEG signals.…”

Section: Introduction Corrding To the Diabetes Control And Complicmentioning

confidence: 99%

Identification of hypoglycemic states for patients with T1DM using various parameters derived from EEG signals

Nguyen

Ling

Jones

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-For patients with Type 1 Diabetes Mellitus, hypoglycemia is a very common but dangerous complication which can lead to unconsciousness, coma and even death. The variety of hypoglycemia symptoms is originated from the inadequate supply of glucose to the brain. In this study, we explored the connection between hypoglycemia episodes and the electrical activity of neurons within the brain or EEG signals. By analyzing EEG signals from a clinical study of five children with T1DM, associated with hypoglycemia at night, we found that under hypoglycemia conditions, some EEG parameters changed significantly. Based on these results, we proposed a method of detecting hypoglycemic episodes using EEG signals, including a feed-forward multi-layer neural network algorithm for classifying. The classification results are 72% sensitivity and 55% specificity when using the signals from 2 electrodes C3 and O2. We also used signals from different channels to see the contribution of each to performance of classifying. The results of the study show the potentiality of our method and will be improved and developed in the near future.

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“…In three cases, the patients were moderately cognitively impaired at the time of EEG changes, they were, however, still awake. The presence and the time of alarm were independent of age, diabetes duration and glucose regulation (Juhl et al, 2010). Although this study did not prove that an alarm could be given in time for the patient to react, it indicated that it would in most cases.…”

Section: Clinical Resultsmentioning

confidence: 80%

“…These changes were only detectable in patients with lack of glucagon response. This observation has been challenged by our research team which found EEG changes irrespective of glucagon response (Juhl et al, 2010). Though the two signals in Figure 1 are very easy to distinguish and the HREC paradigm is relatively well established, the HREC detection problem is not as trivial as it seems.…”

Section: Hypoglycaemia Related Eeg Changesmentioning

confidence: 88%

“…It was concluded that "changes in electroencephalograms during hypoglycaemia appear and disappear at such a narrow range of blood glucose concentrations that the term threshold blood glucose concentration for the onset of such changes seems justified". A number of studies have further characterized the EEG-changes associated with hypoglycaemia (Bedtsson et al, 1991;Bjorgaas et al, 1998;Hyllienmark et al, (2005); Juhl et al, (2010); Tamburrano et al, 1988;Tribl et al, 1996). Although some discrepancy exists with respect to the spatial location of the EEG changes (see section 2.4) and the persistence of these changes after restoration of euglycaemia, it is well established that hypoglycaemia is associated with an increased power in the low frequency bands.…”

Section: Hypoglycaemia Related Eeg Changesmentioning

confidence: 99%

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Detecting hypoglycemia by using the brain as a biosensor

Elsborg¹,

Remvig²,

Beck‐Nielsen³

et al. 2011

Biosensors for Health, Environment and Biosecurity

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Automated detection of hypoglycemia-induced EEG changes recorded by subcutaneous electrodes in subjects with type 1 diabetes—The brain as a biosensor

Cited by 55 publications

References 19 publications

Hypoglycemia-Related Electroencephalogram Changes are Independent of Gender, Age, Duration of Diabetes, and Awareness Status in Type 1 Diabetes

Hypoglycemia-Related Electroencephalogram Changes are Independent of Gender, Age, Duration of Diabetes, and Awareness Status in Type 1 Diabetes

Identification of hypoglycemic states for patients with T1DM using various parameters derived from EEG signals

Detecting hypoglycemia by using the brain as a biosensor

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