Signal processing in physiological noise

• US 8,764,676 B2
• Filed: 05/07/2010
• Issued: 07/01/2014
• Est. Priority Date: 05/07/2009
• Status: Active Grant

• Current Assignee: Massachusetts Eye And Ear Infirmary (Foundation of The Massachusetts Eye and EAR Infirmary Incorporated)
• Original Assignee: Massachusetts Eye And Ear Infirmary (Foundation of The Massachusetts Eye and EAR Infirmary Incorporated)
• Inventors: Prakash, Srinivasamurthy Ravi, Herrmann, Barbara, Rauch, Steven D., Guinan, John J. Jr.
• Primary Examiner(s): Hindenburg, Max
• Assistant Examiner(s): DANEGA, RENEE A
• Application Number:
  US12/776,272
• Publication Number:
  US 20100292606A1
• Time in Patent Office: 1,516 Days
• Field of Search: 600/554
• US Class Current: 600/554
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4023 Evaluating sense of balance
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The invention relates to systems and methods for estimating a response of at least a part of a physiological system to a first deterministic stimulus signal. The methods include separating a measured first signal into a plurality of segments, each segment representing a response of the physiological system to a corresponding portion of the first stimulus signal and generating a template signal representing the plurality of segments. The methods further include calculating a measure of similarity of each segment in the plurality of segments to the template signal to provide a set of scalar quantities, and determining a metric representing a characteristic of the response of at least a part of the physiological system to the first stimulus signal.

Claims

1. A method for estimating a response of at least a part of a physiological system to a first deterministic stimulus signal, the method comprising:

receiving, at a computing device, a first signal measured from the physiological system in response to the first stimulus signal;

separating, using a processor, the measured first signal into a plurality of segments, each segment representing a response of the physiological system to a corresponding portion of the first stimulus signal;

generating, using a processor, a template signal representing the plurality of segments;

calculating, using a processor, a measure of similarity of each segment in the plurality of segments to the template signal to provide a set of scalar quantities, wherein calculating the measure of similarity comprises calculating a correlation between the segment and the template signal; and

determining, using a processor, a metric representing a characteristic of the response of at least a part of the physiological system to the first stimulus signal, wherein the metric is a ratio of a measure of central tendency to a measure of dispersion, wherein the measure of central tendency and the measure of dispersion are computed from the set of scalar quantities.

2. The method of claim 1, further comprising measuring the first signal from the physiological system using one or more electrodes.

3. The method of claim 1, wherein each segment is substantially equal in duration to other segments in the plurality of segments.

4. The method of claim 1, wherein each segment is substantially equal in length to a corresponding portion of the stimulus signal.

5. The method of claim 1, further comprising generating the template signal by averaging the segments.

6. The method of claim 1, further comprising:

receiving, at a computing device, a second signal measured from the physiological system in response to a second deterministic stimulus signal, an intensity of which is greater than the intensity of the first stimulus signal;

separating, using a processor, the measured second signal into a plurality of segments, each segment representing a response of the physiological system to a corresponding portion of the second stimulus signal; and

generating the template signal based on the plurality of segments from the second measured signal.

7. The method of claim 6, wherein the second signal is measured under substantially the same measurement conditions as for the first signal.

8. The method of claim 1, further comprising:

receiving, at a computing device, a plurality of third signals measured from a plurality of physiological systems of substantially same type in a population of subjects in response to a third deterministic stimulus signal;

separating, using a processor, each of the plurality of third signals into a plurality of segments, each segment representing a response of the corresponding physiological system to a corresponding portion of the third stimulus signal; and

generating the template signal based on the segments from the plurality of third signals.

9. The method of claim 8, wherein the plurality of third signals are each measured under substantially the same measurement conditions as for the first signal.

10. The method of claim 1, wherein the template signal is calculated based on one or more parameters of a theoretical model of the physiological system.

11. The method of claim 1, wherein the set of scalar quantities includes at least one of a correlation coefficient, an inner product, a sum of squared differences (SSD), a root mean squared difference (RMSD), a sum of absolute differences (SAD), and mutual information.

12. The method of claim 1, wherein the measure of central tendency is a mean and the measure of dispersion is a standard deviation.

13. The method of claim 1, wherein the physiological system is a vestibular system, the first signal is a vestibular evoked myogenic potential (VEMP), and the stimulus signal is an acoustic signal.

14. The method of claim 13, further comprising providing instructions to a subject to control a body part of the subject in accordance with the stimulus signal, wherein the physiological system is a part of the subject.

15. The method of claim 1, wherein the stimulus signal is one or more of an acoustic signal, an electrical signal, a visual signal, and a mechanical signal.

16. The method of claim 1, wherein the first signal is measured in the presence of a random process and the response of at least a part of the physiological system to the stimulus signal modulates the random process.

17. The method of claim 13, wherein the response of at least a part of the vestibular system to the acoustic signal inhibits a spiking activity of a muscle and a level of the spiking activity is represented by the characteristic.

18. The method of claim 17, wherein the first signal is measured in the presence of concomitant physiological noise and the response of at least a part of the vestibular system to the acoustic signal modulates the physiological noise, and wherein an extent of the modulation depends on the level of spiking activity.

19. The method of claim 1, further comprising applying the first stimulus signal to the physiological system.

20. The method of claim 6, further comprising applying the second stimulus signal to the physiological system.

21. A system for estimating a response of at least a part of a physiological system to a first stimulus signal, the system comprising:

a processor for;

separating a first signal into a plurality of segments, each segment representing a response of the physiological system to a corresponding portion of the first stimulus signal, wherein the first signal is measured from the physiological system in response to the first stimulus signal,

generating a template signal representing the plurality of segments,

calculating a measure of similarity of each segment in the plurality of segments to the template signal to provide a set of scalar quantities, wherein calculating the measure of similarity comprises calculating a correlation between the segment and the template signal, and

determining a metric representing a characteristic of the response of at least a part of the physiological system to the first stimulus signal, wherein the metric is a ratio of a measure of central tendency to a measure of dispersion, wherein the measure of central tendency and the measure of dispersion are computed from the set of scalar quantities; and

a device for measuring the first signal.

22. The system of claim 21, wherein the device comprises one or more electrodes.

23. The system of claim 21, further comprising an audio device for providing the stimulus as an acoustic signal, wherein the physiological system is a vestibular system and the first signal is a vestibular evoked myogenic potential (VEMP).

24. The system of claim 23, wherein the response of at least a part of the vestibular system to the acoustic signal inhibits a spiking activity of a muscle, a level of the spiking activity being represented by the characteristic.

25. The system of claim 24, wherein the first signal is measured in the presence of concomitant physiological noise and the response of at least a part of the vestibular system to the acoustic signal modulates the physiological noise, wherein an extent of modulation depends on the level of spiking activity.

26. A computer-readable medium storing a computer program for estimating a response of at least a part of a physiological system to a first deterministic stimulus signal, the computer program comprising instructions for causing a computer system to:

receive a first signal measured from the physiological system in response to the first stimulus signal;

separate the measured first signal into a plurality of segments, each segment representing a response of the physiological system to a corresponding portion of the first stimulus signal;

generate a template signal representing the plurality of segments;

calculate a measure of similarity of each segment in the plurality of segments to the template signal to provide a set of scalar quantities, wherein calculating the measure of similarity comprises calculating a correlation between the segment and the template signal; and

determine a metric representing a characteristic of the response of at least a part of the physiological system to the first stimulus signal, wherein the metric is a ratio of a measure of central tendency to a measure of dispersion, wherein the measure of central tendency and the measure of dispersion are computed from the set of scalar quantities.

27. A method for estimating a response of at least a part of a physiological system to a first deterministic stimulus signal, the method comprising:

receiving, at a computing device, a first signal measured from the physiological system in response to the first stimulus signal;

separating, using a processor, the measured first signal into a plurality of segments, each segment representing a response of the physiological system to a corresponding portion of the first stimulus signal;

generating, using a processor, a template signal representing the plurality of segments, wherein the template signal is generated based on one or more parameters of a theoretical model of the physiological system;

calculating, using a processor, a measure of similarity of each segment in the plurality of segments to the template signal to provide a set of scalar quantities; and

determining, using a processor, a metric representing a characteristic of the response of at least a part of the physiological system to the first stimulus signal, wherein the metric is a ratio of a measure of central tendency to a measure of dispersion, wherein the measure of central tendency and the measure of dispersion are computed from the set of scalar quantities.

28. The method of claim 27, further comprising measuring the first signal from the physiological system using one or more electrodes.

29. The method of claim 27, wherein each segment is substantially equal in duration to other segments in the plurality of segments.

30. The method of claim 27, wherein each segment is substantially equal in length to a corresponding portion of the stimulus signal.

31. The method of claim 27, wherein the set of scalar quantities includes at least one of a correlation coefficient, an inner product, a sum of squared differences (SSD), a root mean squared difference (RMSD), a sum of absolute differences (SAD), and mutual information.

32. The method of claim 27, wherein the measure of central tendency is a mean and the measure of dispersion is a standard deviation.

33. The method of claim 27, wherein the physiological system is a vestibular system, the first signal is a vestibular evoked myogenic potential (VEMP), and the stimulus signal is an acoustic signal.

34. The method of claim 33, further comprising providing instructions to a subject to control a body part of the subject in accordance with the stimulus signal, wherein the physiological system is a part of the subject.

35. The method of claim 27, wherein the first signal is measured in the presence of a random process and the response of at least a part of the physiological system to the stimulus signal modulates the random process.

36. The method of claim 33, wherein the response of at least a part of the vestibular system to the acoustic signal inhibits a spiking activity of a muscle and a level of the spiking activity is represented by the characteristic.

37. The method of claim 36, wherein the first signal is measured in the presence of concomitant physiological noise and the response of at least a part of the vestibular system to the acoustic signal modulates the physiological noise, and wherein an extent of the modulation depends on the level of spiking activity.

38. A system for estimating a response of at least a part of a physiological system to a first stimulus signal, the system comprising:

a processor for;

separating a first signal into a plurality of segments, each segment representing a response of the physiological system to a corresponding portion of the first stimulus signal, wherein the first signal is measured from the physiological system in response to the first stimulus signal,

generating a template signal representing the plurality of segments, wherein the template signal is generated based on one or more parameters of a theoretical model of the physiological system,

calculating a measure of similarity of each segment in the plurality of segments to the template signal to provide a set of scalar quantities, and

determining a metric representing a characteristic of the response of at least a part of the physiological system to the first stimulus signal, wherein the metric is a ratio of a measure of central tendency to a measure of dispersion, wherein the measure of central tendency and the measure of dispersion are computed from the set of scalar quantities; and

a device for measuring the first signal.

39. The system of claim 38, wherein the device comprises one or more electrodes.

40. The system of claim 38, further comprising an audio device for providing the stimulus as an acoustic signal, wherein the physiological system is a vestibular system and the first signal is a vestibular evoked myogenic potential (VEMP).

41. The system of claim 40, wherein the response of at least a part of the vestibular system to the acoustic signal inhibits a spiking activity of a muscle, a level of the spiking activity being represented by the characteristic.

42. The system of claim 41, wherein the first signal is measured in the presence of concomitant physiological noise and the response of at least a part of the vestibular system to the acoustic signal modulates the physiological noise, wherein an extent of modulation depends on the level of spiking activity.

43. A computer-readable medium storing a computer program for estimating a response of at least a part of a physiological system to a first deterministic stimulus signal, the computer program comprising instructions for causing a computer system to:

receive a first signal measured from the physiological system in response to the first stimulus signal;

separate the measured first signal into a plurality of segments, each segment representing a response of the physiological system to a corresponding portion of the first stimulus signal;

generate a template signal representing the plurality of segments, wherein the template signal is generated based on one or more parameters of a theoretical model of the physiological system;

calculate a measure of similarity of each segment in the plurality of segments to the template signal to provide a set of scalar quantities; and

determine a metric representing a characteristic of the response of at least a part of the physiological system to the first stimulus signal, wherein the metric is a ratio of a measure of central tendency to a measure of dispersion, wherein the measure of central tendency and the measure of dispersion are computed from the set of scalar quantities.