Method of quantifying a subject's wake or sleep state and system for measuring

• US 7,860,561 B1
• Filed: 06/04/2004
• Issued: 12/28/2010
• Est. Priority Date: 06/04/2004
• Status: Expired due to Fees

• Current Assignee: Cleveland Medical Devices Inc.
• Original Assignee: Cleveland Medical Devices Inc.
• Inventors: Modarres, Mohammad
• Primary Examiner(s): Mallari; Patricia C
• Assistant Examiner(s): Toth; Karen E
• Application Number:
  US10/860,863
• Time in Patent Office: 2,398 Days
• Field of Search: 600544-545
• US Class Current: 600/544
• 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 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

The present invention relates to a method of quantifying a subject'"'"'s wake or sleep state, and more particularly to a higher resolution method of determining when a subject is awake or asleep. The present invention additionally relates more specific applications of this method, and a system for making these quantitative measurements. There are numerous embodiments of the present invention, which are envisioned, with a few of those listed below. The present invention relates to a method of analyzing a subject, and preferably a human subject to determine quantitatively when the subject is awake and when the subject is sleeping. The present invention has application for use with alertness devices, for use to better analyze sleeping disorders, anesthesia monitors, psychiatric and hypnosis medication monitoring, and for looking at the effect of various other therapies.

Claims

1. A method of quantifying wake-sleep states comprising the steps of:

a) using at least one sensor to measure a subject'"'"'s brain wave signals over a measurement time period, the measurement time period comprising a number of time segments;

b) analyzing with a computer processor the subject'"'"'s brain wave signals to estimate or determine a dominant frequency profile;

dominant frequency indices or dominant frequency index for each time segment; and

c) performing with the computer processor a wavelet decomposition on the dominant frequency profile, indices or index over the measurement time period.

2. The method of claim 1, further comprising the steps (d) analyzing the subject'"'"'s brain wave signals to estimate or determine a power spectrum profile, power spectrum indices or power spectrum index for each time segment;

and (e) performing a wavelet decomposition on the power spectrum profile, indices or index over the measurement time period.

3. The method of claim 2, further comprising the step of determining a wake-sleep transition based in part on the results of performing the wavelet decomposition on the power spectrum in the previous step (c) and in part on the results on the results of performing a wavelet decomposition on the dominant frequency from step (e).

4. The method of claim 1, wherein a wake-sleep transition can be determined in real time.

5. The method of claim 1, further comprising the step of quantifying the subject'"'"'s overall sleep over the measurement time period.

6. The method in claim 1, wherein the method is used to trigger an alert to the subject.

12. The method in claim 1, wherein the method is used to adjust the subject'"'"'s sleep medication.

13. The method in claim 1, wherein the method is used to adjust the subject'"'"'s sleep therapy.

14. The method in claim 1, wherein the method is used to research medications which can be used for sleeping disorders.

7. A method of quantifying wake-sleep states comprising the steps of:

a) using at least one sensor to measure a subject'"'"'s brain wave signals over a measurement time period;

b) analyzing with a computer processor the subject'"'"'s brain wave signals to estimate or determine time-varying frequency spectral characteristics; and

c) performing with the computer processor a wavelet decomposition on the time-varying frequency spectral characteristics over the measurement time period.

8. The method of claim 7, wherein a wake-sleep transition can be determined in real time real time.

9. The method of claim 7, further comprising the step of quantifying the subject'"'"'s overall sleep over the measurement time period.

10. The method in claim 7, wherein the method is used to trigger an alert to the subject.

11. The method in claim 10, wherein the alert is either an alarm or a physical stimulus.