Physiological monitoring

• US 20050020934A1
• Filed: 10/30/2002
• Published: 01/27/2005
• Est. Priority Date: 11/01/2001
• Status: Abandoned Application

• Current Assignee: Oxford Biosignals (Us) Incorporated
• Original Assignee: Oxford Biosignals (Us) Incorporated
• Inventors: McGrogan, Nicholas, Potter, Charles
• Application Number:
  US10/494,311
• Publication Number:
  US 20050020934A1
• Time in Patent Office: Days
• US Class Current: 600/546
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/372 Analysis of electroencephalograms
• 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 5/398 Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• 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
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Sleep or vigilance analysis is performed by use of a trained artificial neural network on electro-oculogram signals. Either a left side or right side EOG signal may be used, referenced to the nearby mastoid site, the nape of the neck or another quiet site. The use of the EOG signal allows REM sleep to be distinguished from light sleep. The use of only one channel of data means that only a small number of electrodes need to be used and thus the device can be provided as a self-contained compact portable unit. The device may also provide a sleep stage type sensitive alarm clock.

Claims

1. Insomnia monitoring apparatus comprising:

one or more electrodes to obtain an electro-oculogram (EOG) signal from a subject over a period of epochs, the signal being related to the sleep stage type being experienced by the subject; and

a processor adapted to analyse the electro-oculogram signal and assign a sleep stage type to each epoch based on the electro-oculogram signal.

2. Insomnia monitoring apparatus according to claim 1 wherein the processor is adapted to generate a hypnogram from the assigned sleep stage types, to analyse the hypnogram to generate a summary index of sleep quality over the period of epochs;

and wherein the apparatus further comprises a display for displaying the summary index of sleep quality.

5. Insomnia or vigilance monitor apparatus according to claim 1 wherein the hypnogram or assigned wakefulness stage types are generated from the electro-oculogram signal only.

6. Insomnia or vigilance monitor apparatus according to claim 1 wherein the EOG signal is obtained from at least one of the left and right EOG sites, referenced to at least one of the left and right mastoid sites and a quiet site on the scalp.

7. Insomnia or vigilance monitor apparatus according to claim 1 wherein the EOG signal is obtained from one of the left and right EOG sites referenced to the corresponding neighbouring mastoid site.

8. Insomnia or vigilance monitor apparatus according to claim 1 wherein the processor distinguishes between the sleep stage types REM and light sleep.

9. Insomnia or vigilance monitor apparatus according to claim 1 wherein the processor distinguishes between the sleep stage types wake, REM, light sleep, and deep sleep stage.

10. Insomnia or vigilance monitor apparatus according to claim 1 wherein the processor comprises a trained artificial neural network.

11. Insomnia or vigilance monitor apparatus according to claim 1 wherein the monitor comprises a single portable unit.

12. Insomnia monitor apparatus according to claim 2 wherein the summary index comprises a Sleep Efficiency Index or an indication of the periodicity of the sleep/wake continuum.

13. Insomnia or vigilance monitor apparatus according to claim 1 wherein the processor is adapted to analyse the electro-oculogram signal to derive a heart rate measurement therefrom.

25. An alarm clock comprising insomnia monitoring apparatus according to claim 1 and further comprising an alarm controller for triggering an alarm in accordance with predefined criteria based on sleep stage types assigned by said processor.

26. An alarm clock in accordance with claim 25 wherein said predefined criteria comprise the condition that a predefined time has elapsed in one or more predetermined ones of the sleep stage types.

27. An alarm clock in accordance with claim 26 wherein said one or more predetermined ones of the sleep stage types include at least one of deep sleep stage types 1 to 4.

28. An alarm clock in accordance with claim 25 wherein said predefined criteria comprise the condition that the currently assigned sleep stage type is a predetermined one of the sleep stage types.

29. An alarm clock in accordance with claim 28 wherein said predetermined one of the sleep stage types includes at least one of light sleep and REM sleep.

3. Vigilance monitoring apparatus comprising:

one or more electrodes to obtain an electro-oculogram (EOG) signal from a subject over a period of epochs, the signal being related to the wakefulness stage type being experienced by the subject; and

a processor adapted to analyse the electro-oculogram signal and assign a wakefulness stage type to each epoch based on the electro-oculogram signal.

4. Vigilance monitoring apparatus according to claim 3 further comprising a wakefulness stage type monitor for monitoring the assigned wakefulness stage types to determine whether they meet predetermined criteria which represent a lowered level of vigilance;

and

a message generator responsive to the wakefulness stage type monitor to generate a message when the predetermined criteria are met.

14. A method of sleep or vigilance monitoring, characterised by:

obtaining at least one electro-oculogram (EOG) signal from a subject and performing sleep or vigilance analysis on the at least one EOG signal.

15. A method according to claim 14 comprising attaching first and second electrodes to respectively an EOG site and a reference site and monitoring the differential electrical signals between the two electrodes.

16. A method according to claim 15 wherein the reference site is the mastoid site neighbouring the EOG site.

17. A method according to claim 14 wherein only said EOG signal is used for performing said sleep or vigilance analysis.

18. A method according to claim 14 wherein REM sleep is distinguished from Light Sleep, deep sleep and an awake state using a single channel of EEG data.

19. A method according to claim 18 wherein the EEG data is recorded from an EOG site.

20. A method according to claim 14 further comprising deriving a heart rate measurement from said EOG signal.

21. A method according to claim 14, wherein:

the EOG signal is obtained from the subject over a period of epochs, the signal being related to the sleep or wakefulness stage type being experienced by the subject; and

said analysis comprises assigning a sleep or wakefulness stage type to each epoch.

22. A method of insomnia monitoring according to claim 21 further comprising:

analysing assigned sleep stage types to generate a summary index of sleep quality over the period of epochs; and

displaying the summary index of sleep quality.

23. A method of vigilance monitoring according to claim 21 further comprising:

monitoring the assigned wakefulness stage types to determine whether they meet predetermined criteria representing a lowered level of vigilance; and

generating an alarm message when the predetermined criteria are met.

24. A method according to claim 14, wherein said analysis is performed by a trained artificial neural network.