METHOD AND SYSTEM FOR MONITORING AND DISPLAYING PHYSIOLOGICAL CONDITIONS

• US 20130253362A1
• Filed: 06/04/2012
• Published: 09/26/2013
• Est. Priority Date: 04/15/2008
• Status: Abandoned Application

• Current Assignee: Christopher Scheib
• Original Assignee: Christopher Scheib
• Inventors: Scheib, Christopher
• Application Number:
  US13/487,986
• Publication Number:
  US 20130253362A1
• Time in Patent Office: Days
• US Class Current: 600/544
• 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 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/7425 Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image geometric transforms for image registration G06T3/14; enhancement using image fusion G06T5/50; algorithms for registration of images G06T7/30

Abstract

A system and method is used for determining from EEG signals the lack of awareness and the depth of anesthesia of a patient to whom an anesthetic agent is being administered. In particular, a log-log representation of the EEG power spectrum of a current patient is compared to another log-log spectrum of a patient in a known condition. By comparison the awareness or depth of anesthesia of the current patient can be determined. The reference spectrum can be an average spectrum of many patients or a previously acquired spectrum of the current patient, or any other spectrum that can be statistically correlated with the current patient'"'"'s spectrum.

Claims

1. A method for providing an indication of a state of awareness for a patient, comprising the steps of:

acquiring a first EEG power spectrogram of a patient exposed to anesthesia;

comparing the first EEG power spectrogram to a second EEG power spectrogram, wherein the second EEG power spectrogram is associated with a known state of awareness; and

based on a similarity between the first EEG power spectrogram and the second EEG power spectrogram, providing an indication of a state of awareness of the patient.

2. The method of claim 1, further comprising:

acquiring the second EEG power spectrogram when the patient has the known state of awareness.

3. The method of claim 2, wherein the second EEG power spectrogram is acquired from the patient at a time prior to when the first EEG power spectrogram is acquired.

4. The method of claim 1, wherein the second EEG power spectrogram comprises an average EEG power spectrogram calculated from a plurality of respective EEG power spectrograms from a plurality of different persons.

5. The method of claim 1, wherein the second EEG power spectrogram is that of at least one person other than the patient.

6. The method of claim 5, wherein the at least one person is demographically similar to the patient.

7. The method of claim 6, wherein demographically similar comprises one or more of a same sex, a similar age, a similar medical history, and a similar drug use history.

8. The method of claim 1, further comprising:

before comparing the first EEG power spectrogram and the second EEG power spectrogram, arranging respective data of each power spectrogram to provide a respective first and second power versus frequency waveform in a log-log arrangement.

9. The method of claim 8, further comprising:

concurrently displaying the first power versus frequency waveform and the second power versus frequency waveform in an overlaid arrangement.

10. The method of claim 9, wherein the indication of the state of awareness of the patient comprises the concurrent display of the first and second waveforms in an overlaid arrangement

11. The method of claim 9, further comprising:

before displaying the first and second waveforms, adjusting an amplitude of at least one of the waveforms.

12. The method of claim 11, wherein adjusting the amplitude of at least one of the waveforms comprises:

calculating a first best-fit line for a first high-frequency portion of the first waveform;

calculating a second best-fit line for a second high-frequency portion of the second waveform; and

adjusting a respective amplitude of at least one of the first and second power versus frequency waveforms such that the first best-fit line and the second best-fit line at least partially overlap.

13. The method of claim 8, further comprising:

calculating a multi-segment best-fit first line corresponding to the first power versus frequency waveform.

14. The method of claim 13, further comprising:

concurrently displaying the first power versus frequency waveform and the second power versus frequency waveform; and

the first line in an overlaid arrangement.

15. The method of claim 13, further comprising:

calculating a multi-segment best-fit second line corresponding to the second power versus frequency waveform, wherein the similarity between the first EEG power spectrogram and the second EEG power spectrogram is based at least in part on how similar the first line is to the second line.

16. The method of claim 1, wherein comparing the first EEG power spectrogram and the second EEG power spectrogram comprises comparing a first alpha peak associated with the first EEG power spectrogram with a second alpha peak associated with the second EEG power spectrogram.

17. The method of claim 1. wherein:

the first EEG power spectrogram comprises first spindle information related to a number of cycles within a spindle, an amplitude of a spindle cycle, a number of spindles in a unit time, and a time interval between adjacent spindles, within the first EEG power spectrogram; and

the second EEG power spectrogram comprises second spindle information related to a number of cycles within a spindle, an amplitude of a spindle cycle, a number of spindles in a unit time, and a time interval between adjacent spindles, within the second EEG power spectrogram.

18. The method of claim 17, wherein comparing the first EEG power spectrogram to a second EEG power spectrogram, comprises:

comparing at least a portion of the first spindle information with at least a portion of the second spindle information.

19. The method of claim 1, further comprising:

acquiring a temporally-spaced sequence of EEG power spectrograms subsequent to the first power EEG power spectrogram; and

monitoring the state of awareness of the patient by respectively comparing each of the sequence of EEG power spectrograms with the second EEG power spectrogram to determine how a respective difference between each compared EEG power spectrogram is changing over time.

20. A method for providing an indication of a state of awareness for a patient, comprising the steps of:

acquiring and storing a first EEG power spectrogram of a patient exposed to anesthesia;

acquiring a second EEG power spectrogram, wherein the second EEG power spectrogram is acquired at a point in time after the first EEG power spectrogram;

comparing the first EEG power spectrogram to a second EEG power spectrogram; and

based on a similarity between the first EEG power spectrogram and the second EEG power spectrogram, providing an indication of a current state of awareness of the patient.

21. The method of claim 20, further comprising:

retrieving the first EEG power spectrogram from storage before comparing with the second EEG power spectrogram, wherein the storage includes EEG power spectrogram data for a plurality of different EEG power spectrograms.

22. The method of claim 21, further comprising:

selecting the first EEG power spectrogram based on a value of an indicator associated with the first EEG power spectrogram.

23. The method of claim 22, wherein the indicator is one of a vital sign, a surgical condition, a modeled parameter, and an intrinsic attribute of the first EEG power spectrogram.