METHOD AND APPARATUS FOR MEASURING RESPONSIVENESS OF A SUBJECT

• US 20090247893A1
• Filed: 03/27/2008
• Published: 10/01/2009
• Est. Priority Date: 03/27/2008
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Lapinlampi, Petteri, Sarkela, Mika
• Application Number:
  US12/056,928
• Publication Number:
  US 20090247893A1
• Time in Patent Office: Days
• US Class Current: 600/544
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/38 Acoustic or auditory stimuli
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

The invention relates to a method and apparatus for measuring the responsiveness of a subject. Physiological signal data is obtained from a subject through at least one electrode attached to the skin of the subject and a first measure is derived from the physiological signal data, the first measure being indicative of signal energy in the physiological signal data on a frequency band where EMG activity appears. Recorded sequence of the first measure is subjected as input data to a morphological pattern extraction operation. The output data of the operation is indicative of presence of predetermined response waveforms in the input data and a measure of responsiveness is determined based on the output data.

Claims

1. A method for measuring the responsiveness of a subject, the method comprising:

obtaining physiological signal data through at least one electrode attached to the subject;

deriving a first measure from the physiological signal data, the first measure being indicative of signal energy in the physiological signal data on a frequency band where EMG activity appears;

recording a sequence of the first measure;

subjecting the sequence of the first measure to a morphological pattern extraction operation, wherein output data of the morphological pattern extraction operation is indicative of presence of predetermined response waveforms in the sequence of the first measure; and

determining a measure of responsiveness based on the output data of the morphological pattern extraction operation.

2. A method according to claim 1, wherein the obtaining includes obtaining the physiological signal data, in which the physiological signal data includes high frequency EEG signal data.

3. A method according to claim 1, wherein the deriving includes deriving the first measure, in which the first measure represents power of the physiological signal data on said frequency band.

4. A method according to claim 1, wherein the subjecting includes subjecting the sequence of the first measure to the morphological pattern extraction operation, wherein the morphological pattern extraction operation is implemented as a filter.

5. A method according to claim 4, wherein the subjecting includes subjecting the sequence of the first measure to the filter, wherein the filter is configured to perform a wavelet transform.

6. A method according to claim 5, wherein the determining includes selecting output coefficients of the filter from at least one decomposition level of the filter.

7. A method according to claim 6, wherein the determining comprises determining the measure of responsiveness based on a sum of the selected output coefficients.

8. A method according to claim 7, wherein the determining comprises weighting the selected output coefficients.

9. A method according to claim 8, wherein the weighting comprises giving more weight to output coefficients that correspond to most recent values in the sequence of the first measure, wherein the output coefficients belong to the selected output coefficients.

10. An apparatus comprising:

a data processing unit configured to derive a sequence of a first measure from physiological signal data obtained from a subject through at least one electrode attached to the subject, the first measure being indicative of signal energy in the physiological signal data on a frequency band where EMG activity appears;

a morphological pattern extractor configured to provide output data indicative of presence of predetermined response waveforms in input data of the morphological pattern extractor, wherein the morphological pattern extractor is further configured to receive the sequence of the first measure as the input data; and

a determination unit configured to determine a measure of responsiveness based on the output data of the morphological pattern extractor.

11. An apparatus according to claim 10, wherein the physiological signal data includes high frequency EEG signal data.

12. An apparatus according to claim 10, wherein the first measure represents power of the physiological signal data on said frequency band.

13. An apparatus according to claim 10, wherein the morphological pattern extractor comprises a filter.

14. An apparatus according to claim 13, wherein the filter is configured to perform a wavelet transform.

15. An apparatus according to claim 14, wherein the determination unit is configured to select output coefficients of the filter from at least one decomposition level of the filter.

16. An apparatus according to claim 15, wherein determination unit is configured to determine the measure of responsiveness based on a sum of the selected output coefficients of the filter.

17. An apparatus according to claim 16, wherein the determination unit is configured to determine the measure of responsiveness based on a weighted sum of the selected output coefficients.

18. An apparatus according to claim 17, wherein the determination unit is configured to put more weight on output coefficients that correspond to most recent values of the first measure, wherein the output coefficients belong to the selected output coefficients.

19. A computer program product for a patient monitor, the computer program product comprising:

a first program code portion configured to record a sequence of a first measure indicative of signal energy in physiological signal data on a frequency band where EMG activity appears, wherein the physiological signal data is obtained from a subject through at least one electrode attached to the subject;

a second program code portion configured to provide, based on the sequence of the first measure, output data indicative of presence of predetermined response waveforms in the sequence; and

a third program code portion configured to determine a measure of responsiveness based on the output data.