Method and apparatus for the assessment of autonomic response by broad-band excitation

• US 4,777,960 A
• Filed: 08/18/1986
• Issued: 10/18/1988
• Est. Priority Date: 08/18/1986
• Status: Expired due to Fees

• Current Assignee: The United States of America As Represented By The Secretary of Agriculture
• Original Assignee: Massachusetts Institute of Technology
• Inventors: Chen, Ming H., Saul, Jerome P., Cohen, Richard J., Berger, Ronald D.
• Primary Examiner(s): Kamm, William E.
• Assistant Examiner(s): Keegan, Timothy J.
• Application Number:
  US06/897,603
• Time in Patent Office: 792 Days
• Field of Search: 128/670, 128/671, 128/706, 128/741, 128/732, 364/415, 364/417
• US Class Current: 600/519
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/4035 Evaluating the autonomic nervous system
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: Y10S 128/925 Neural network

Abstract

A rapid, noninvasive technique for quantifying the dynamic response of the autonomic nervous system (ANS) to perturbations it senses over a broad range of physiologically relevant frequencies. The technique involves two steps. First, a physiologic parameter sensed by the ANS is subjected to a broad-band perturbation as an input signal while a physiologic parameter modulated by the ANS is monitored as an output signal. Then, the transfer relation between input signal and output signal is determined. The computed transfer relation is then readily interpretable in terms of responsiveness of the various limbs of the ANS.

Claims

1. Method for assessing autonomic response comprising:

applying a broad-band perturbation to a physiologic input signal sensed by the autonomic nervous system;

monitoring a physiologic output signal modulated by the autonomic nervous system;

computing the transfer relation between the physiologic input and output signals; and

displaying said transfer relation.

2. The method of claim 1 wherein the input signal to which the broad-band perturbation is applied is respiratory activity.

3. The method of claim 1 wherein the physiologic output signal is heart rate.

4. The method of claim 1 in which the broad-band perturbation has a Poisson distribution.

5. The method of claim 1 wherein the broad-band perturbation has a Poisson distribution modified to prohibit intervals shorter than some minimum interval t_min.

6. The method of claim 1 wherein the broad-band perturbation is a Poisson distribution modified to prohibit intervals shorter than some minimum interval t_min or longer than some maximum interval t_max.

7. The method of claim 1 wherein the broad-band perturbation lasts for approximately 6 minutes.

8. The method of claim 1 wherein the broad-band perturbation contains components in the range of 0.0-0.5 Hz.

9. The method of claim 1 wherein the transfer relation is a complex transfer function.

10. The method of claim 1 wherein the autonomic response is assessed on a standing subject.

11. The method of claim 1 wherein the autonomic response is assessed on a supine subject.

12. The method of claim 1 wherein the broad-band perturbation is applied to arterial pressure as the input signal.

13. The method of claim 1 wherein the broad-band perturbation has a Gaussian white noise distribution.

14. The method of claim 1 wherein the broad-band perturbation has a random switching signal distribution.

15. The method of claim 1 wherein the broad-band perturbation has a pseudo random binary distribution.

16. The method of claim 1 wherein the broad-band perturbation is modified in a specific frequency band.

17. The method of claim 1 wherein the physiologic output signal is a hemodynamic parameter.

18. The method of claim 1 wherein the perturbation is auditory stimuli.

19. The method of claim 1 wherein the perturbation is visual stimuli.

20. The method of claim 19 wherein the visual stimuli are light flashes.

21. The method of claim 9 wherein the complex transfer function is decomposed into magnitude and phase components.

22. The method of claim 12 wherein arterial pressure variations are accomplished by modulating air pressure in a body suit or neck chamber worn by a subject.

23. Method for assessing autonomic response comprising:

applying a broad-band perturbation to respiratory activity which is the input signal sensed by the autonomic nervous system;

monitoring heart rate as the output signal modulated by the autonomic nervous system;

computing the transfer relation between respiratory activity and heart rate; and

displaying said transfer relation.

24. Method for assessing autonomic response comprising:

applying a broad-band perturbation to a physiologic parameter which is the input signal sensed by the autonomic nervous system;

monitoring an output signal which is a physiologic parameter which is modulated by the autonomic nervous system

characterizing the relationship between the input and output signals; and

displaying said transfer relation.

25. The method of claim 24 wherein the relationship between the input signal and the output signal is performed by a regression analysis.

26. Apparatus for assessing autonomic response comprising:

means for subjecting a physiologic parameter sensed by the autonomic system as an input signal to a broad-band perturbation;

means for monitoring an output signal which is a physiologic parameter modulated by the autonomic nervous system; and

means for computing the relationship between the input and output signals; and

means for displaying said transfer relation.

27. The apparatus of claim 26 wherein the broad-band perturbation is applied to respiratory activity as the input

28. The apparatus of claim 26 wherein the physiologic is heart rate.

29. The apparatus of claim 26 wherein the relationship between the input signal and the output signal is a transfer function.

30. The apparatus of claim 26 wherein the broad-band perturbation applied to respiratory activity as the input signal is induced by external cues to which the subject is trained to respond.

31. The apparatus of claim 26 wherein the broad-band perturbation has a Poisson distribution.

32. The apparatus of claim 26 wherein the relationship between the input signal and the output signal is determined by a regression analysis.

33. The apparatus of claim 26 wherein the output signal is a hemodynamic parameter.