NEURAL ANALYSIS AND TREATMENT SYSTEM

• US 20150018705A1
• Filed: 07/14/2014
• Published: 01/15/2015
• Est. Priority Date: 07/12/2013
• Status: Active Grant

• Current Assignee: Cardinal Health 200 LLC (Cardinal Health, Inc.)
• Original Assignee: Innara Health, Inc.
• Inventors: Aron, Kenneth, Barlow, Ph.D., Steven M., Stalling, Ph.D., David L.
• Granted Patent: US 11,096,619 B2
• Time in Patent Office: Days
• US Class Current: 600/544
• CPC Class Codes: A61B 2503/045 Newborns, e.g. premature baby monitoring
• 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 5/377 using evoked responses
• CPC Class Codes: A61B 5/383 Somatosensory stimuli, e.g. electric stimulation
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/4848 Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61B 5/7242 using integration

Abstract

A neural analysis and treatment system includes a computing device with a memory for storing an application that is executable on a processor to receive amplitude-integrated electroencephalography (aEEG) and range-EEG (rEEG) measurements associated with a patient. The systems determine a spectral edge frequency (SEF) measurement from the received EEG measurements, and determine one or more neural characteristics of the patient according to the determined SEF, aEEG, and rEEG measurements. These neural characteristics may then be used to identify and implement an appropriate therapeutic treatment.

Claims

1. A neural analysis and treatment system comprising:

a computing device having at least one non-transitory local memory and at least one processor, the at least one non-transitory local memory comprising computer executable instructions executed by the processor to;

receive, by the processor, electroencephalography (EEG) data comprising amplitude-integrated electroencephalography (aEEG) and range-EEG (rEEG) measurements from one or more electrodes associated with a patient;

determine a spectral edge frequency (SEF) measurement from the received EEG data; and

determine a neural characteristic of the patient according to the determined SEF measurement; and

develop one or more therapeutic plans based upon the one or more neural characteristics of the patient.

2. The system of claim 1, wherein the neural characteristic comprises an SEF modulation of the patient.

3. The system of claim 1, wherein the neural characteristic comprises a rEEG modulation of the patient.

4. The system of claim 1, wherein the neural characteristic comprises a rEEG asymmetry of the patient.

5. The system of claim 1, wherein the neural characteristic comprises an aEEG modulation of the patient.

6. The system of claim 1, wherein the neural characteristic comprises an aEEG asymmetry of the patient.

7. The system of claim 1, wherein the neural characteristic comprises an SEF asymmetry of the patient.

8. The system of claim 1, wherein the neural characteristic comprises a cortical activity of the patient.

9. The system of claim 1, wherein the patient is a preterm infant.

10. The system of claim 1, wherein the therapeutic plan entrains a neural behavior in the patient.

11. The system of claim 1, wherein the therapeutic plan alters a cortical activity of the patient.

12. The system of claim 1, wherein the therapeutic plan promotes cortical adaptation in the patient.

13. The system of claim 1, further comprising the processor to:

generate a signal, received at an entrainment device to perform the one of the one or more therapeutic plans on the patient;

receive, by the processor, other EEG data from one or more electrodes associated with the patient, after the one or more therapeutic plans have been performed;

determine another SEF measurement from the other received EEG data;

determine another characteristic of the patient according to the determined other SEF measurement; and

determine a brain development level of the patient according to the neural characteristics and the other neural characteristics.

14. The system of claim 13, wherein the brain development level comprises a quantified cortical adaptation of the patient.

15. The system of claim 13, wherein the other neural characteristic comprises an SEF modulation of the patient.

16. The system of claim 13, wherein the other neural characteristic comprises a rEEG modulation of the patient.

17. The system of claim 13, wherein the other neural characteristic comprises a rEEG asymmetry of the patient.

18. The system of claim 13, wherein the other neural characteristic comprises an aEEG modulation of the patient.

19. The system of claim 13, wherein the other neural characteristic comprises an aEEG asymmetry of the patient.

20. The system of claim 13, wherein the other neural characteristic comprises an SEF asymmetry of the patient.

21. The system of claim 13, wherein the other neural characteristic comprises a cortical activity of the patient.

22. The system of claim 13, further comprising the processor to generate one or more reports that include at least one of the one or more neural characteristics, one or more of the other neural characteristics, and the brain development level of the patient.

23. A method for neural analysis and treatment plan development for providing neurological entrainment to a patient comprising:

receiving electroencephalography (EEG) data comprising amplitude-integrated electroencephalography (aEEG) and range-EEG (rEEG) measurements from one or more electrodes associated with the patient;

determining a spectral edge frequency (SEF) measurement from the received EEG data;

determining a neural characteristic of the patient according to the determined SEF measurement; and

developing one or more therapeutic plans based upon the one or more neural characteristics of the patient.

24. The method of claim 23 further comprising:

using an entrainment device to perform the one or more therapeutic plans on the patient;

receiving other EEG data from one or more electrodes associated with the patient, after the one or more therapeutic plans have been performed;

determining another SEF measurement from the other received EEG data;

determining another neural characteristic of the patient according to the determined other SEF measurement; and

determine a brain development level of the patient according to the neural characteristics and the other neural characteristic.

25. The system of claim 23, wherein the brain development level comprises a quantified cortical adaptation of the patient.

26. The system of claim 23, wherein at least one of the neural characteristic or other neural characteristic comprises an SEF modulation of the patient.

27. The system of claim 23, wherein at least one of the neural characteristic or other neural characteristic comprises a rEEG modulation of the patient.

28. The system of claim 23, wherein at least one of the neural characteristic or other neural characteristic comprises a rEEG asymmetry of the patient.

29. The system of claim 23, wherein at least one of the neural characteristic or other neural characteristic comprises an aEEG modulation of the patient.

30. The system of claim 23, wherein at least one of the neural characteristic or other neural characteristic comprises an aEEG asymmetry of the patient.

31. The system of claim 23, wherein at least one of the neural characteristic or other neural characteristic comprises an SEF asymmetry of the patient.

32. The system of claim 23, wherein at least one of the neural characteristic or other neural characteristic comprises a cortical activity of the patient.