Impedance spectroscopy system for ischemia monitoring and detection

• US 5,807,272 A
• Filed: 10/30/1996
• Issued: 09/15/1998
• Est. Priority Date: 10/31/1995
• Status: Expired due to Term

• Current Assignee: Worcester Polytechnic
• Original Assignee: Worcester Polytechnic Institute
• Inventors: Ristic, Borislav, Peura, Robert A., Kun, Steven
• Primary Examiner(s): JAWORSKI, FRANCIS J
• Application Number:
  US08/739,162
• Time in Patent Office: 685 Days
• Field of Search: 600/481, 600/486, 600/500, 600/504, 600/506, 600/547, 600/528, 600/546
• US Class Current: 600/547
• CPC Class Codes: A61B 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/413 Monitoring transplanted tissue or organ, e.g. for possible rejection reactions after a transplant
• CPC Class Codes: A61B 5/4869 Determining body composition

Abstract

An impedance spectroscopy tissue status monitoring and measurement system is disclosed. The system uses a synthesizer to generates electrical signals of selected frequencies. An electrical current source is responsive to the synthesizer and generates electrical currents for transmission through tissue. Electrodes or inductive coils of the system apply the electrical current to the tissue and sense voltages generated in the tissue in response to the electrical current. A controller determines the spectral response of the tissue by detecting magnitude and phase information of the electrical energy transmitted through the tissue. The information is then used to determine volumes of compartments within the tissue and ionic concentrations of compartmental fluids. Capacitive effects derived from the phase information are used to determine cell membrane functionality within the tissue. From this analysis, status, specifically, ischemia, may be determined on an absolute basis.

Claims

1. A method for detecting ischemia in tissue, comprising:

applying electrical energy to the tissue;

detecting a spectral response of the tissue; and

applying a transformation to the spectral response to determine a measure of ischemia of the tissue.

2. The method described in claim 1, wherein applying the transformation comprises:

modeling the spectral response of the tissue when normal based upon the detected spectral response; and

comparing the detected spectral response of the tissue and the modeled spectral response to determine the measure of the ischemia.

3. The method described in claim 2, wherein modeling the spectral response of the tissue when normal comprises extrapolating a resistance/reactance relationship at higher frequencies based upon a resistance/reactance relationship at lower frequencies of the detected spectral response.

4. The method described in claim 2, wherein modeling the spectral response of the tissue when normal comprises extrapolating a spectral response into higher frequencies based upon the detected spectral response at lower frequencies.

5. The method described in claim 4, wherein applying the transformation further comprises generating parameters that are descriptors of a spectral response of the ischemia of the tissue based upon the detected spectral response.

6. The method described in claim 5, wherein modeling the spectral response of the tissue when normal further comprises generating parameters that are descriptors of the spectral response of the tissue when normal based upon the extrapolated high frequency response.

7. The method described in claim 6, wherein comparing the detected spectral response of the tissue and the modeled spectral response comprises combining the parameters that are descriptors of the spectral response of the ischemia of the tissue and the parameters that are descriptors of the spectral response of the normal tissue in a pattern matching algorithm to generate a measure of the level of ischemia in the tissue.

8. The method described in claim 7, further comprising:

estimating resistive and/or capacitive components of an electrical model of the tissue; and

preprocessing the parameters prior to input into the pattern matching algorithm in response to the estimated components.

9. The method described in claim 8, wherein the resistive and capacitive components are estimated using a back-projection technique.

10. The method described in claim 8, wherein the estimated resistive components are used to determine volumes of compartments within the tissue.

11. The method described in claim 8, wherein the estimated resistive components are used to determine ionic concentrations of compartmental fluids in the tissue.

12. The method described in claim 8, wherein the estimated capacitive components are used to determine cell membrane functionality within the tissue.

13. The method described in claim 2, wherein applying the transformation further comprises normalizing the detected spectral response.

14. A method described in claim 13, wherein normalizing the detected spectral response comprises comparing resistance and reactive spectral responses with constraints based on known biochemical responses of tissues to obtain specific resistance and specific reactance frequency responses.

15. The method described in claim 1, wherein applying the transformation to the spectral response comprises combining parameters derived from the detected spectral response of the tissue in a pattern matching algorithm that is trained to generate a measure of the level of ischemia in the tissue from the parameters.

16. The method described in claim 1, wherein determining measures of ischemia comprises generating an estimated pH of the tissue.

17. A method for detecting a status of tissue, comprising:

applying electrical energy to the tissue;

detecting a spectral response of the tissue; and

combining parameters derived from the detected spectral response of the tissue in a pattern matching algorithm that is trained to generate a measure of the status of the tissue from the parameters.

18. The method described in claim 17, wherein the status of the tissue comprises whether or not the tissue contains abnormal cells.

19. The method described in claim 17, wherein the status of the tissue comprises whether or not the tissue contains tumor cells.

20. The method described in claim 17, wherein the status of the tissue comprises whether or not the tissue is hypoxic.

21. The method described in claim 17, wherein the status of the tissue comprises whether or not the tissue is damaged.

22. The method described in claim 17, wherein applying the transformation comprises:

modeling the spectral response of the tissue when normal based upon the detected spectral response; and

comparing the detected spectral response of the tissue and the modeled spectral response to determine the measure of the status.

23. The method described in claim 22, wherein modeling the spectral response of the tissue when normal comprises extrapolating a resistance/reactance relationship at higher frequencies based upon a resistance/reactance relationship at lower frequencies of the detected spectral response.

24. The method described in claim 22, wherein modeling the spectral response of the tissue when normal comprises extrapolating a spectral response into higher frequencies based upon the detected spectral response at lower frequencies.

25. A system for detection of tissue ischemia, the system comprising:

a synthesizer for generating electrical signals;

an electrical current source, responsive to the synthesizer, for generating electrical energy for transmission through tissue in response to the electrical signals;

means for applying the electrical energy from the current source to the tissue and for sensing voltages generated in the tissue in response to the electrical energy; and

a controller for determining measures of the ischemia in the tissue in response to detected spectral responses of the tissue based on the sensed voltages.

26. The system described in claim 25, wherein the controller models the spectral responses of the tissue when normal and compares the detected spectral responses of the tissue and the modeled spectral responses to determine the measures of the ischemia.

27. The system described in claim 26, wherein the controller models the spectral responses of the tissue when normal by extrapolating a spectral responses into higher frequencies based upon the detected spectral responses at lower frequencies.

28. The system described in claim 27, wherein the controller generates parameters that are descriptors of the spectral response of the ischemia of the tissue based upon the detected spectral responses.

29. The system described in claim 28, wherein the controller generates parameters that are descriptors of the spectral responses of the tissue when normal based upon the extrapolated high frequency response.

30. The system described in claim 29, wherein the controller executes a pattern matching algorithm that generates the measure of the ischemia by reference to the parameters that are descriptors of the spectral responses of the ischemia of the tissue and the parameters that are descriptors of spectral responses of the normal tissue.

31. A system for monitoring status of tissue comprising:

a synthesizer for generating electrical signals;

an electrical current source, responsive to the synthesizer, for generating electrical energy for transmission through tissue in response to the electrical signals;

means for applying the electrical energy from the current source to the tissue and for sensing voltages generated in the tissue in response to the electrical energy; and

a controller that executes a pattern matching algorithm that is trained to generate a measure of the tissue'"'"'s status in response to parameters derived from a spectral response of the tissue from the sensed voltages.