Measurement of blood oxygen saturation

• US 20050119543A1
• Filed: 09/24/2004
• Published: 06/02/2005
• Est. Priority Date: 07/04/1998
• Status: Active Grant

• Current Assignee: Whitland Research Ltd. (Edwards Lifesciences Corporation)
• Original Assignee: Whitland Research Ltd. (Edwards Lifesciences Corporation)
• Inventors: Higgins, Michael J., Parker, Dawood
• Granted Patent: US 7,400,918 B2
• Time in Patent Office: Days
• US Class Current: 600/323
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• 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: B65H 23/18 by controlling or regulating the web-advancing mechanism, e.g. mechanism acting on the running web

Abstract

Oxygenation of a subject'"'"'s blood is determined by sensing an absorption spectrum of light directed either invasively or non-invasively into the blood, and then calculating an oxygenation value by evaluating a cost function of the remitted spectrum relative to at least two pre-determined reference absorption spectra representing different, known levels of blood oxygenation. The source of light preferably uses stable, long-life, white LEDs, in which case white-balancing of the remitted spectrum can be accomplished by pre-determining and storing the spectrum of the LEDs, one time for all, and then adjusting the remitted spectrum accordingly to compensate for deviations of the LED spectrum from the constant ideal.

Claims

1. A method for determining blood oxygen saturation comprising:

compiling at least two blood absorption reference spectra, corresponding to two different levels of oxygenation, over a wavelength range;

directing light into the blood of a subject;

sensing a remitted light absorption spectrum from the blood; and

computing an oxygen saturation value as a function of the remitted light absorption spectrum relative to the blood absorption reference spectra.

2. A method as in claim 1, further comprising normalizing the blood absorption reference spectra and the remitted light absorption spectrum before computing the oxygen saturation value.

3. A method as in claim 2, in which the step of normalizing the blood absorption reference spectra and the remitted light absorption spectrum includes DC-offsetting the spectra linearly between two isosbestic wavelengths that lie in the wavelength range.

4. A method as in claim 3, in which the step of normalizing the blood absorption reference spectra and the remitted light absorption spectrum includes scaling the DC-offsetted blood absorption reference spectra and the remitted light absorption spectrum by a function of the area under each respective DC-offsetted spectrum between the two isosbestic wavelengths.

5. A method as in claim 1, in which the step of computing the oxygen saturation value comprises computing an optimal value of a cost function that indicates closeness of correspondence between the remitted light absorption spectrum relative to the blood absorption reference spectra.

6. A method as in claim 5, in which the step of computing the optimal value comprises interpolation of the remitted light absorption spectrum relative to at least two of the blood absorption reference spectra.

7. A method as in claim 5, further comprising:

compiling at least one minimum blood absorption reference spectrum and one maximum blood absorption reference spectrum corresponding to minimum and maximum blood oxygenation values, as well as at least one intermediate blood absorption reference spectrum;

computing the oxygen saturation value as a function of the remitted light absorption spectrum relative to at least two of the blood absorption reference spectra.

8. A method as in claim 7, further comprising:

determining the two blood absorption reference spectra that are closest to but are respectively greater than and less than the remitted light absorption spectrum; and

computing the oxygen saturation value by linear interpolation of the remitted light absorption spectrum relative to the closest blood absorption reference spectra.

9. A method as in claim 7, further comprising computing the oxygen saturation value by non-linear interpolation of the remitted light absorption spectrum relative to at least three of the blood absorption reference spectra.

10. A method as in claim 1, further comprising white-balancing the remitted light absorption spectrum and then using the white-balanced remitted light absorption spectrum in the step of computing the an oxygen saturation value.

11. A method as in claim 1, further comprising:

generating the light directed into the blood from a white-light LED;

pre-determining the spectrum of the white-light LED;

storing a representation of the white-light LED spectrum; and

adjusting the remitted light absorption spectrum as a function of the spectrum of the white-light LED.

12. A method as in claim 11, further comprising storing the representation of the white-light LED spectrum permanently, whereby no further characterization of the light source is needed.

13. A system for determining blood oxygenation saturation comprising:

at least one processor;

a storage device storing parameters numerically representing at least two blood absorption reference spectra, corresponding to two different levels of oxygenation, over a wavelength range;

a light source generating a spectrum of light over at least the wavelength range;

a light transmission arrangement directing the generated light from the light source into the blood of a subject;

a light detection arrangement sensing a remitted light absorption spectrum from the blood;

conditioning circuitry converting the detected remitted light into a numerically represented, measured remitted absorption spectrum;

a computation software module comprising processor-executable code for computing an oxygen saturation value as a function of the remitted light absorption spectrum relative to the blood absorption reference spectra.

14. A system as in claim 13, further comprising, as part of the computation software module, a normalization sub-module comprising processor-executable code for normalizing the blood absorption reference spectra and the remitted light absorption spectrum before computing the oxygen saturation value.

15. A system as in claim 14, in which the normalization sub-module comprises further processor-executable code for DC-offsetting the spectra linearly between two isosbestic wavelengths that lie in the wavelength range.

16. A system as in claim 15, in which the normalization sub-module comprises further processor-executable code for scaling the DC-offsetted blood absorption reference spectra and the remitted light absorption spectrum by a function of the area under each respective DC-offsetted spectrum between the two isosbestic wavelengths.

17. A system as in claim 13, the computation software module further includes a fitting sub-module comprising processor-executable code for computing an optimal value of a cost function that indicates closeness of correspondence between the remitted light absorption spectrum relative to the blood absorption reference spectra.

18. A system as in claim 17, further comprising, as part of the computation software module, a fitting sub-module comprising processor-executable code for interpolating the remitted light absorption spectrum relative to at least two of the blood absorption reference spectra.

19. A system as in claim 17, in which:

the storage device contains parameters numerically representing at least one minimum blood absorption reference spectrum and one maximum blood absorption reference spectrum corresponding to minimum and maximum blood oxygenation values, as well as at least one intermediate blood absorption reference spectrum;

the computation software module includes processor-executable code for computing the oxygen saturation value as a function of the remitted light absorption spectrum relative to at least two of the blood absorption reference spectra.

20. A system as in claim 19, in which the computation software module further comprises processor-executable code:

for determining the two blood absorption reference spectra that are closest to but are respectively greater than and less than the remitted light absorption spectrum; and

for computing the oxygen saturation value by linear interpolation of the remitted light absorption spectrum relative to the closest blood absorption reference spectra.

21. A system as in claim 19, in which the computation software module further comprises processor-executable code for computing the oxygen saturation value by non-linear interpolation of the remitted light absorption spectrum relative to at least three of the blood absorption reference spectra.

22. A system as in claim 13, further comprising, as part of the computation software module, a white-balancing sub-module comprising processor-executable code for white-balancing the remitted light absorption spectrum and for passing the white-balanced remitted light absorption spectrum as input to the computation software module for computing the an oxygen saturation value.

23. A system as in claim 13, in which:

the light source includes at least one stable, white-light LED;

a storage medium storing pre-determined parameters characterizing the spectrum of the white-light LED, the characterizing parameters forming an input to the computation software module useful for adjusting the remitted light absorption spectrum as a function of the spectrum of the white-light LED.

24. A system as in claim 23, in which the storage medium is non-volatile.

25. A method for determining blood oxygen saturation comprising:

compiling at least one minimum blood absorption reference spectrum and one maximum blood absorption reference spectrum corresponding to minimum and maximum blood oxygenation values, as well as at least one intermediate blood absorption reference spectrum, over a wavelength range, each reference spectrum corresponding to a respective level of oxygenation;

directing light into the blood of a subject;

sensing a remitted light absorption spectrum from the blood;

normalizing the blood absorption reference spectra and the remitted light absorption spectrum before computing the oxygen saturation value, the normalization including;

DC-offsetting the spectra linearly between two isosbestic wavelengths that lie in the wavelength range; and

scaling the DC-offsetted blood absorption reference spectra and the remitted light absorption spectrum by a function of the area under each respective DC-offsetted spectrum between the two isosbestic wavelengths;

computing an oxygen saturation value as a function of the remitted light absorption spectrum relative to the blood absorption reference spectra, the computation including;

computing an optimal value of a cost function that indicates closeness of correspondence between the remitted light absorption spectrum relative to the blood absorption reference spectra; and

interpolation of the remitted light absorption spectrum relative to at least two of the blood absorption reference spectra; and

computing the oxygen saturation value as a function of the remitted light absorption spectrum relative to at least two of the blood absorption reference spectra.

26. A system for determining blood oxygenation saturation comprising:

at least one processor;

a storage device storing parameters numerically representing at least one minimum blood absorption reference spectrum and one maximum blood absorption reference spectrum corresponding to minimum and maximum blood oxygenation values, as well as at least one intermediate blood absorption reference spectrum, each reference spectrum corresponding to respective, different levels of oxygenation, over a wavelength range;

a light source generating a spectrum of light over at least the wavelength range;

a light transmission arrangement directing the generated light from the light source into the blood of a subject;

a light detection arrangement sensing a remitted light absorption spectrum from the blood;

conditioning circuitry converting the detected remitted light into a numerically represented, measured remitted absorption spectrum;

a computation software module including;

a normalization sub-module comprising processor-executable code for normalizing the blood absorption reference spectra and the remitted light absorption spectrum before computing the oxygen saturation value by

DC-offsetting the spectra linearly between two isosbestic wavelengths that lie in the wavelength range; and

scaling the DC-offsetted blood absorption reference spectra and the remitted light absorption spectrum by a function of the area under each respective DC-offsetted spectrum between the two isosbestic wavelengths; and

a fitting sub-module comprising processor-executable code for interpolating the remitted light absorption spectrum relative to at least two of the blood absorption reference spectra;

the computation software module comprising processor-executable code for computing the oxygen saturation value as a function of the interpolation.

27. In a medical instrument that performs at least one measurement to determine at least one body characteristic by directing white light into or onto the body of a patient, a method comprising:

pre-determining parameters characterizing the spectrum of a white-light LED;

storing the pre-determined parameters in a non-volatile, computer-readable medium;

providing the medium together with the white-light LED so as to provide input data to the instrument for adjusting its measurement as a function of the pre-determined parameters characterizing the white-light LED'"'"'s spectrum, whereby no further characterization of the light source is needed.

28. A non-volatile, computer-readable storage medium containing pre-determined parameters characterizing the spectrum of a white-light LED, the storage medium being deliverable as a unit together with the LED so as to provide input data to a medical instrument for adjustment of at least one measurement as a function of the pre-determined parameters characterizing the white-light LED'"'"'s spectrum, whereby no further characterization of the light source is needed.