Monitoring of tissue hemoglobin concentration

• US 8,489,164 B2
• Filed: 10/27/2010
• Issued: 07/16/2013
• Est. Priority Date: 10/27/2010
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Kuhn, Jonathan L.
• Primary Examiner(s): WINAKUR, ERIC FRANK
• Application Number:
  US12/913,096
• Publication Number:
  US 20120108925A1
• Time in Patent Office: 993 Days
• Field of Search: 600/310, 600/322, 600/323, 600/328, 600/473, 600/476
• US Class Current: 600/310
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/14535 for measuring haematocrit
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives

Abstract

A medical device system and associated method monitor tissue hemoglobin concentration. Light attenuation is measured in a volume of tissue in a patient. A value of a tissue scattering coefficient corresponding to the tissue volume in the patient is established in response to the attenuation measurement. A second derivative of the light attenuation measurement is determined. An artifact correction term is computed in response to the established tissue scattering coefficient, and a tissue hemoglobin concentration is computed using the artifact correction term and the second derivative.

Claims

1. A method for monitoring tissue hemoglobin concentration using a medical device having an optical sensor, the method comprising;

measuring light attenuation using the optical sensor positioned adjacent to a volume of tissue;

determining a value of a tissue scattering coefficient corresponding to the tissue volume in response to the attenuation measurement;

determining a second derivative of the light attenuation measurement;

computing an artifact correction term in response to the determined tissue scattering coefficient; and

computing a tissue hemoglobin concentration in response to the artifact correction term and the second derivative.

2. The method of claim 1 wherein determining a value of a tissue scattering coefficient comprises:

setting ranges of values for coefficients comprising a range of values for the tissue scattering coefficient and a range of values for a tissue absorption coefficient;

obtaining light attenuation data corresponding to the ranges of values for coefficients;

determining a mathematical model of the light attenuation data and the ranges of values for coefficients;

storing the mathematical model in the medical device; and

interpolating a solution of the tissue scattering coefficient for the volume of tissue from the mathematical model in response to light attenuation measured at a selected wavelength.

3. The method of claim 2, wherein determining a value of a tissue scattering coefficient further comprises:

determining a first range of a tissue absorption coefficient from the mathematical model for light attenuation measured at the selected wavelength over the range of values for the tissue scattering coefficient;

determining a scaled second derivative of the light attenuation;

determining a second range of the tissue absorption coefficient over the range of values for the tissue scattering coefficient in response to the second derivative and the scaled second derivative;

determining a constraint of the first range and the second range of the tissue absorption coefficient; and

determining the tissue scattering coefficient at the selected wavelength to satisfy the constraint applied to the first range and the second range of the tissue absorption coefficient.

4. The method of claim 3, wherein determining a constraint comprises requiring the first range and the second range to yield equal values of the tissue absorption coefficient at the selected wavelength.

5. The method of claim 3, wherein determining the tissue scattering coefficient results in more than one solution, the method further comprising:

determining a third range of a tissue absorption coefficient from the mathematical model over the range of values for the tissue scattering coefficients and corresponding to attenuation measured at a second wavelength;

computing a first constant value for the tissue absorption coefficient corresponding to the second wavelength in response to a first solution for the tissue scattering coefficient at the selected wavelength;

computing a second constant for the tissue absorption coefficient corresponding to the second wavelength in response to a second solution for the tissue scattering coefficient at the selected wavelength;

determining a first solution for the tissue scattering coefficient at the second wavelength in response to the first constant and the third range of the tissue absorption coefficient;

determining a second solution for the tissue scattering coefficient at the second wavelength in response to the second constant and the third range of the tissue absorption coefficient;

performing a first regression using the first solution for the tissue scattering coefficient at the selected wavelength and the first solution for the tissue scattering coefficient at the second wavelength;

performing a second regression using the second solution for the tissue scattering coefficient at the selected wavelength and the second solution for the tissue scattering coefficient at the second wavelength;

determining the value of the tissue scattering coefficient in response to the first regression and the second regression.

6. The method of claim 2, wherein determining a mathematical model comprises determining a best fit equation relating the tissue scattering coefficient, the tissue absorption coefficient and the light attenuation data.

7. The method of claim 2, wherein determining a mathematical model comprises tabulating a look up table of values relating the tissue scattering coefficient, the tissue absorption coefficient, and the light attenuation data.

8. The method of claim 2, wherein the optical sensor comprises a light emitting portion and a light detecting portion configured to comprise a first emitting-to-detecting separation distance and a second emitting-to-detecting separation distance, and wherein determining a mathematical model comprises obtaining first light attenuation data using the first separation distance and obtaining second light attenuation data using the second separation distance.

9. The method of claim 8, wherein determining a mathematical model further comprises performing a regression and coordinate transformation of the first and second light attenuation data to determine a model of the tissue scattering coefficient as a function the first light attenuation data and the second light attenuation data.

10. The method of claim 1 further comprising:

determining a first scaled second derivative of light attenuation using a first separation distance between a light emitting portion and a light detecting portion of the optical sensor;

determining a second scaled second derivative of light attenuation using a second separation distance between a light emitting portion and a light detecting portion of the optical sensor;

comparing the first and second scaled second derivatives; and

determining the tissue hemoglobin concentration as a valid measurement in response to the first and second scaled second derivatives being approximately equal.

11. A medical device system for monitoring tissue hemoglobin concentration, comprising:

an optical sensor to sense light attenuation in a volume of tissue; and

a processor coupled to the optical sensor configured to measure light attenuation for at least four wavelengths, determine a value of a tissue scattering coefficient corresponding to the tissue volume in response to the measured light attenuation, determine a second derivative of the measured light attenuation, compute an artifact correction term in response to the determined tissue scattering coefficient, and compute a tissue hemoglobin concentration in response to the artifact correction term and the second derivative.

12. The system of claim 11, further comprising a memory, wherein the processor is configured to determine a range of values for the tissue scattering coefficient and a range of values for a tissue absorption coefficient, obtain light attenuation data corresponding to the ranges of values for the coefficients, and determine a mathematical model of the light attenuation data and the ranges of values for the coefficients, the memory storing the mathematical model, and wherein the processor is further configured to interpolate a solution of the tissue scattering coefficient for the volume of tissue from the mathematical model stored in the memory in response to light attenuation measured at a selected wavelength.

13. The system of claim 12, wherein the processor is configured to determine the value of the tissue scattering coefficient by determining a first range of a tissue absorption coefficient from the mathematical model for light attenuation measured at the selected wavelength over the range of values for the tissue scattering coefficient, determine a scaled second derivative of the light attenuation, determine a second range of the tissue absorption coefficient over the range of values for the tissue scattering coefficient in response to the second derivative and the scaled second derivative, determine a constraint of the first range and the second range of the tissue absorption coefficient, and determine the tissue scattering coefficient at the selected wavelength to satisfy the constraint applied to the first range and the second range of the tissue absorption coefficient.

14. The system of claim 13, wherein the processor is further configured to require the first range and the second range to yield equal values of the tissue absorption coefficient at the selected wavelength.

15. The system of claim 13, wherein determining the tissue scattering coefficient yields more than one possible solution, the processor further configured to:

determine a third range of a tissue absorption coefficient from the mathematical model over the range of values for the tissue scattering coefficients and corresponding to attenuation measured at a second wavelength,

determine a first constant value for the tissue absorption coefficient corresponding to the second wavelength in response to a first solution for the tissue scattering coefficient at the selected wavelength,

determine a second constant for the tissue absorption coefficient corresponding to the second wavelength in response to a second solution for the tissue scattering coefficient at the selected wavelength,

determine a first solution for the tissue scattering coefficient at the second wavelength in response to the first constant and the third range of the tissue absorption coefficient,

determine a second solution for the tissue scattering coefficient at the second wavelength in response to the second constant and the third range of the tissue absorption coefficient,

perform a first regression using the first solution for the tissue scattering coefficient at the selected wavelength and the first solution for the tissue scattering coefficient at the second wavelength,

perform a second regression using the second solution for the tissue scattering coefficient at the selected wavelength and the second solution for the tissue scattering coefficient at the second wavelength, and

determine the value of the tissue scattering coefficient in response to the first regression and the second regression.

16. The system of claim 12, wherein the processor is further configured to determine the mathematical model by determining a best fit equation relating the tissue scattering coefficient, the tissue absorption coefficient and the light attenuation data.

17. The system of claim 12, wherein the processor is further configured to determine the mathematical model by tabulating a look up table of values relating the tissue scattering coefficient, the tissue absorption coefficient, and the light attenuation data.

18. The system of claim 12, wherein the optical sensor comprises a light emitting portion and a light detecting portion configured to comprise a first emitting-to-detecting separation distance and a second emitting-to-detecting separation distance, and wherein the processor is configured to determine the mathematical model by obtaining first light attenuation data using the first separation distance and obtaining second light attenuation data using the second separation distance.

19. The system of claim 18, wherein the processor is further configured to determine the mathematical model by performing a regression and coordinate transformation of the first and second light attenuation data to establish a model of the tissue scattering coefficient as a function the first light attenuation data and the second light attenuation data.

20. The system of claim 11, wherein the processor is further configured to determine a first scaled second derivative of light attenuation using a first separation distance between a light emitting portion and a light detecting portion of the optical sensor;

determine a second scaled second derivative of light attenuation using a second separation distance between a light emitting portion and a light detecting portion of the optical sensor;

compare the first and second scaled second derivatives; and

determine the tissue hemoglobin concentration as a valid measurement in response to the first and second scaled second derivatives being approximately equal.

21. A computer-readable medium storing a set of instructions which cause a processor of an implantable medical device system including an optical sensor to:

measure light attenuation in a volume of tissue, the light attenuation measurement comprising light attenuation measured for at least four wavelengths;

determine a value of a tissue scattering coefficient corresponding to the tissue volume in response to the attenuation measurement;

determine a second derivative of the light attenuation measurement;

determine an artifact correction term in response to the established tissue scattering coefficient; and

determine a tissue hemoglobin concentration using the artifact correction term and the second derivative.