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Analysis of eeg signals to detect hypoglycaemia

A hypoglycemia and signal technology, which is applied in the field of analyzing EEG signals to detect hypoglycemia, can solve the problems of not describing the specific methods of obtaining or analyzing EEG signals, and not giving them

Active Publication Date: 2013-07-31
海博安有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, no specific method for obtaining or analyzing the EEG signal is described, nor is any result of implementing the described method given

Method used

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  • Analysis of eeg signals to detect hypoglycaemia
  • Analysis of eeg signals to detect hypoglycaemia
  • Analysis of eeg signals to detect hypoglycaemia

Examples

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Embodiment Construction

[0041] We will describe a preferred embodiment of the invention in which a single channel EEG signal is processed for the detection of hypoglycemia. However, the protocol described below is easily modified to use multiple electrodes to acquire EEG signals. When multiple electrodes are used, their signals can be averaged to obtain more robust evidence. Alternatively, inconsistencies in their signals can be used to identify the occurrence of artifacts such as EMG artifacts by using Independent Component Analysis (ICA) or other machine learning methods. This single-channel EEG signal can be obtained from a single EEG measurement electrode and a ground or reference electrode, at figure 1 is shown schematically as box 10 in . These may be located on the patient's scalp or, more preferably, implanted under the scalp on the outside of the skull. As an alternative to subcutaneous implantation, they can be implanted under the skull. When located outside the skull, at least preferre...

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PUM

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Abstract

Apparatus for detecting hypoglycemia or impending hypoglycemia by analysis of an EEG comprises at least one EEG measuring electrode (10) for gathering an EEG signal and a computer (12) for receiving said EEG signals programmed to obtain a plurality of signal components each comprising a different band of frequencies, obtain a measure of the varying intensity of each said component, obtain a long time estimate of the mean of each intensity measure, obtain a long time estimate of the variability of each intensity measure, normalise each intensity measure e.g. by a subtracting from the intensity measure the long time estimate of the mean and dividing the result by the long time estimate of the variability so as to generate from each band a normalised feature, use machine analysis of the normalised features to obtain a varying cost function, classify values of the cost function according to the probability of the cost function being indicative of hypoglycemia, integrate the probabilities obtained during a selected time period, and determine that the EEG signals are indicative of hypoglycemia being present or being impending based on said integration.

Description

technical field [0001] The present invention relates to a method of predicting and warning of hypoglycemic episodes for, for example but not limited to, diabetic patients. Furthermore, the present invention relates to devices for predicting and warning of hypoglycemic episodes for example but not limited to diabetic patients. Background technique [0002] Hypoglycemic episodes are the result of blood sugar levels that are too low, which is a major problem for people with diabetes who are treated with insulin or other blood sugar regulating drugs. Others at risk include those with a genetic predisposition to hypoglycemia. Seizures can be severe and often result in loss of consciousness. Consequently, the risk of seizures often limits the possible activities of the person concerned and this reduces their quality of life. Attacks can be prevented in a simple manner, for example, by eating appropriate food when glucose levels are critical. The problem, however, is that many ...

Claims

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Application Information

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IPC IPC(8): A61B5/04A61B5/048G06F19/00A61B5/374
CPCA61B5/04018G06K9/00496A61B5/048A61B5/0478G06F19/345A61B5/04014A61B5/14532A61B5/7267A61B5/7264G16H50/20A61B5/316A61B5/374G06F2218/00A61B5/291
Inventor R·E·马德森R·S·詹森
Owner 海博安有限公司