Method and apparatus for determining the cerebral state of a patient with fast response

• US 7,228,169 B2
• Filed: 04/04/2003
• Issued: 06/05/2007
• Est. Priority Date: 10/16/2000
• Status: Expired due to Term

• Current Assignee: GE Healthcare Finland OY (General Electric Company)
• Original Assignee: GE Healthcare Finland OY (General Electric Company)
• Inventors: Viertio-Oja, Hanna E., Rantala, Borje T.
• Primary Examiner(s): Manner, II; Charles A
• Assistant Examiner(s): MALLARI, PATRICIA C
• Application Number:
  US10/407,667
• Publication Number:
  US 20030167019A1
• Time in Patent Office: 1,523 Days
• Field of Search: 600/545
• US Class Current: 600/544
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• 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 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: G06F 2218/08 Feature extraction

Abstract

A method and apparatus for ascertaining the cerebral state of a patient. The method/apparatus may find use in ascertaining the depth of anesthesia of the patient. In one embodiment, the entropy of the patient'"'"'s EEG signal data is determined as an indication of the cerebral state. A frequency domain power spectrum quantity is obtained from the patient'"'"'s EMG signal data. The latter quantity can be updated more frequently than the EEG entropy due to its higher frequency. The EEG entropy indication and the EMG power spectrum indication can be combined into a composite indicator that provides an immediate indication of changes in the cerebral state of the patient. In another embodiment, the frequency range over which the entropy of the biopotential signal from the patient is determined is broadened to encompass both EEG signal data and EMG signal data and the entropy so determined used as an indication of the patient'"'"'s cerebral state.

Claims

1. A method for ascertaining the cerebral state of a patient, including a state resulting from the administration of a drug, said method rapidly indicating changes in such state and comprising the steps of:

(a) obtaining EEG signal data from the patient;

(b) obtaining EMG signal data from the patient, the EMG signal data being primarily of a higher frequency than the EEG signal data which is primarily of lower frequency;

(c) analyzing a sample of sequential EEG signal data to obtain a first indication indicative of the cerebral state of the patient, the length of an EEG signal data sample being such as to provide a cerebral state indication of desired accuracy;

(d) analyzing a sample of sequential EMG signal data temporally related to the EEG signal data sample to obtain a second indication indicative of electromyographic activity in the patient, an EMG signal data sample of shorter length than that of the EEG signal data sample being used to obtain said second indication due to the higher frequency of the EMG signal data; and

(e) producing a composite indication of the cerebral state of the patient from the first and second indications obtained at steps (c) and (d) indicative of the cerebral state of the patient, which composite indication can be updated at a repetition rate determined by the shorter sample length of the EMG signal data to rapidly indicate changes in the cerebral state of the patient.

2. The method according to claim 1 wherein step (c) is further defined as obtaining a measure of the complexity of the EEG signal data as the first indication.

3. A method according to claim 2 wherein step (c) is further defined as obtaining the first indication from fractal spectrum analysis.

4. The method according to claim 2 wherein step (c) is further defined as obtaining a measure of the entropy of the EEG signal data as the first indication.

5. The method according to claim 4 wherein step (c) is further defined as obtaining the spectral entropy of the EEG signal data as the first indication.

6. The method according to claim 4 wherein step (c) is further defined as obtaining the approximate entropy of the EEG signal data as the first indication.

7. The method according to claim 4 further defined as one for ascertaining the hypnotic state of a patient.

8. The method according to claim 7 further defined as repeating steps (c), (d), and (e) to update the composite indication.

9. The method according to claim 1 wherein step (c) is further defined as obtaining the first indication from higher order frequency domain analysis including the bispectrum or trispectrum.

10. The method according to claim 1 wherein step (c) is further defined as obtaining the first indication from frequency domain power spectral analysis of the EEG signal data.

11. The method according to claim 1 wherein step (c) is further defined as obtaining the first indication from a combination of analytical quantities obtained from the EEG signal data.

12. The method according to claim 11 wherein step (c) is further defined as employing a bispectral index (BIS) of the EEG signal data as the first indication.

13. The method according to claim 1 wherein prior to analyzing the samples in steps (c) and (d) the EEG and EMG signal data are subjected to spectral decomposition.

14. The method according to claim 13 further defined as carrying out the spectral decomposition by means of a Fourier transform.

15. The method according to claim 13 further defined as carrying out the spectral decomposition by employing a set of basis functions other than a Fourier set of functions.

16. The method according to claim 15 further defined as carrying out the spectral decomposition by employing a set of basic functions corresponding to wavelet transformation.

17. The method according to claim 1 wherein step (d) is further defined as obtaining the second indication from a frequency domain power spectrum of the EMG signal data.

18. The method according to claim 2 wherein step (d) is further defined as obtaining a measure of the complexity of the EMG signal data as the second indication.

19. The method according to claim 18 wherein in step (d) a noise level is established below which the EMG signal data is considered to be zero.

20. The method according to claim 1 further defined as repeating steps (c), (d), and (e) to update the composite indication.

21. The method according to claim 1 further defined as one for ascertaining the hypnotic state of a patient.

22. The method according to claim 17 further defined as one for ascertaining the hypnotic state of a patient.

23. The method according to claim 21 further defined as repeating steps (c), (d), and (e) to update the composite indication.

24. The method according to claim 17 further defined as repeating steps (c), (d), and (e) to update the composite indication.

25. The method according to claim 5 further defined as one for ascertaining the hypnotic state of a patient.

26. The method according to claim 25 further defined as repeating steps (c), (d), and (e) to update the composite indication.

27. The method according to claim 2 wherein step (c) is further defined as obtaining a Lempel-Ziv complexity measure of the EEG signal data as the first indication.

28. The method according to claim 2 wherein step (c) is further defined as obtaining the first indication from frequency domain power spectral analysis of the EEG signal data.

29. The method according to claim 2 wherein step (d) is further defined as obtaining the second indication from a frequency domain power spectrum of the EMG signal data.

30. The method according to claim 29 further defined as one for ascertaining the hypnotic state of a patient.

31. The method according to claim 29 further defined as repeating steps (c), (d), and (e) to update the composite indication.

32. The method according to claim 2 further defined as one for ascertaining the hypnotic state of a patient.

33. The method according to claim 32 further defined as repeating steps (c), (d), and (e) to update the composite indication.

34. The method according to claim 1 wherein step (a) is further defined as obtaining the EEG signal data in a frequency range of approximately 0.5–

32 Hz.

35. The method according to claim 1 wherein step (b) is further defined as obtaining EMG signal data in a range of approximately 32–

300 Hz.

36. The method according to claim 35 further defined as notch filtering the EMG signal data to remove power line frequency harmomics.

37. The method according to claim 1 including obtaining the EEG signal data and the EMG signal data from a common signal source.

38. The method according to claim 37 including obtaining the EEG and EMG signal data from biopotential electrodes applied to the head of the patient.

39. The method according to claim 38 including obtaining at least the EMG signal data from electrodes applied to the forehead of the patient.

40. The method according to claim 1 further defined as processing the EEG and EMG signal data to detect artifacts.

41. The method according to claim 40 further defined as filtering the signal data to remove artifacts.

42. The method according to claim 40 further defined as preventing the use of signal data affected by artifacts.

43. The method according to claim 40 further defined as detecting excessive muscle activity in the patient from the EMG signal data and preventing the use of EEG signal data affected by the muscle activity.

44. The method according to claim 40 further defined as including the step of sensing the presence of electrical energy at electro surgical frequencies and as preventing the use of signal data affected by such an artifact.

45. The method according to claim 40 further defined as detecting simultaneous spikes in both the EEG signal data and EMG signal data as eye movement artifacts and preventing the use of signal data affected by such artifacts.

46. Apparatus for ascertaining the cerebral state of a patient, including a state resulting from the administration of a drug, said apparatus comprising:

(a) means for obtaining biopotential signals from the patient, the biopotential signals containing EEG signal data and EMG signal data;

(b) means analyzing a sample of sequential EEG signal data to obtain a first indicator indicative of the cerebral state of the patient and analyzing a sample of sequential EMG signal data temporally related to the EEG signal data sample to obtain a second indicator indicative of electromyographic activity in the patient, said analyzing means using a length of an EEG signal data sample to determine the first indicator and using an EMG signal data sample of shorter length than the EEG signal data sample to determine said second indicator, said analyzing means updating said second indicator more frequently than said first indicator; and

(c) means producing a composite indicator from the first and second indicators indicative of the cerebral state of the patient.

47. The apparatus according to claim 46 wherein said analyzing means is further defined as obtaining a measure of the complexity of the EEG signal data as the first indicator.

48. The apparatus according to claim 47 wherein said analyzing means is further defined as obtaining a measure of the entropy of the EEG signal data as the first indicator.

49. The apparatus according to claim 48 further defined as one for ascertaining the hypnotic state of a patient.

50. The apparatus according to claim 47 wherein said analyzing means is further defined as obtaining a Lempel-Ziv complexity measure of the EEG signal data as the first indicator.

51. The apparatus according to claim 47 wherein said analyzing means is further defined as obtaining the second indicator from a frequency domain power spectrum of the EMG signal data.

52. The apparatus according to claim 47 further defined as one for ascertaining the hypnotic state of a patient.

53. The apparatus according to claim 46 wherein said analyzing means is further defined as obtaining the second indicator from a frequency domain power spectrum of the EMG signal data.

54. The apparatus according to claim 46 further defined as one for ascertaining the hypnotic state of a patient.

55. The apparatus according to claim 46 further defined as including means for notch filtering the signal data to remove power line frequency harmomcs.

56. The apparatus according to claim 46 further defined as including means for processing the signal data to detect artifacts.

57. The apparatus according to claim 56 further defined as including means for filtering the signal data to remove artifacts.