Method and apparatus for prediction and warning of hypoglycaemic attack

• US 8,628,472 B2
• Filed: 02/16/2012
• Issued: 01/14/2014
• Est. Priority Date: 12/20/2004
• Status: Active Grant

• Current Assignee: Hypo-Safe A/S
• Original Assignee: Hypo-Safe A/S
• Inventors: Beck-Nielsen, Henning
• Primary Examiner(s): Kahelin, Michael
• Assistant Examiner(s): TOTH, KAREN E
• Application Number:
  US13/398,382
• Publication Number:
  US 20120209133A1
• Time in Patent Office: 698 Days
• Field of Search: 600/365, 600/544, 600/545
• US Class Current: 600/365
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/374 Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00

Abstract

A method and device for warning diabetics of imminent hypoglycaemic attacks. EEG signals are collected from a person using subcutaneously placed electrodes and the signals are led via wires drawn under the person'"'"'s skin to a subcutaneously placed signal interface unit from where they are transmitted to an externally worn signal processing unit. The signal processing analyzes the EEG signals and when the pre-seizure characteristics signal changes are detected, a warning signal is given to the person from an alarm giver built into the signal processing unit, e.g., in form of a vibrator. When a person detects a warning signal, the person can prevent the hypoglycaemic attack by, e.g., consuming a sugary food.

Claims

1. A method for warning of imminent hypoglycaemic attacks for people such as diabetics, the warning being based on analysis of one or more Electroencephalography (EEG signals from a person without the use of Electrocardiography (ECG) signals, said method comprising:

providing the person with a portable hypoglycaemic attack warning system comprising EEG signal gathering electrodes and a signal processing unit,

receiving in said signal processing unit EEG signals derived from said signal gathering electrodes,

performing analysis of said signals for identifying characteristics therein indicative of an imminent hypoglycaemic attack by signal analytic identification of pre-seizure characteristic EEG changes which include at least one of decrease in frequency and increase in amplitude,

and giving a warning to said person that a said attack is determined to be imminent when said characteristics are identified in said EEG signals.

2. The method according to claim 1, wherein said EEG signals are received first in an interface unit connected to said electrodes and comprising a wireless transmitter, and are wirelessly transmitted by said wireless transmitter of said interface unit to said signal processing unit.

3. The method according to claim 2, wherein said interface unit is implanted beneath the skin of the person and said signal processing unit is externally worn.

4. The method according to claim 2, wherein the electrodes are connected to said interface unit by subcutaneously drawn wires and said interface unit is subcutaneously placed.

5. The method according to claim 1, wherein the EEG signals are registered from two or more said electrodes placed intracranially, or placed extracranially on or below the skin surface.

6. The method according to claim 1, wherein the EEG signals prior to the signal analysis are filtered through band-pass filtering.

7. The method according to claim 1, wherein the signal analysis of the EEG signal is carried out in the time domain or in the frequency domain.

8. The method according to claim 1, wherein pre-seizure characteristic EEG signal changes are detected by application of signal analysis based on a logistic regression algorithm, a Bayesian classifier algorithm, or a neutral network algorithm.

9. A hypoglycaemic attack warning device for warning of an imminent hypoglycaemic attacks for people such as diabetics, said device comprising:

Electroencephalography (EEG signal gathering electrodes and a signal processing unit connected to receive in said signal processing unit EEG signals derived from said signal gathering electrodes in use,

said signal processing unit being adapted to perform analysis of said signals for identifying characteristics therein indicative of an imminent hypoglycaemic attack by signal analytic identification of pre-seizure characteristic EEG changes which include at least one of decrease in frequency and increase in amplitude,

and an alarm unit connected to said signal processing unit and adapted to give a warning that a said attack is determined to be imminent when said characteristics are identified in said EEG signals.

10. The device according to claim 9, further comprising an interface unit physically connected to said electrodes and comprising a wireless transmitter for transmitting EEG signals received from said electrodes in use, wherein said signal processing unit comprises a wireless receiver for receiving said transmitted EEG signals for processing.