Non-invasive estimation of arterial blood gases

• US 6,251,082 B1
• Filed: 08/27/1998
• Issued: 06/26/2001
• Est. Priority Date: 02/06/1995
• Status: Expired due to Term

• Current Assignee: RIC INVESTMENTS LLC (Respironics Incorporated)
• Original Assignee: NTC Technology, Inc. (Dixtal Medical, Inc.)
• Inventors: Rayburn, Daniel B.
• Primary Examiner(s): Lacyk, John P.
• Assistant Examiner(s): Natnithithadha, Navin
• Application Number:
  US09/141,248
• Time in Patent Office: 1,034 Days
• Field of Search: 600/532, 600/529, 600/538, 600/543
• US Class Current: 600/532
• CPC Class Codes: A61B 5/0836 Measuring rate of CO2 production
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis

Abstract

A non-invasive system and procedure for deriving the blood gas content for a patient. The system measures the carbon dioxide concentration of the expiratory breath relative to volume. This data is then processed to derive arterial blood gas levels of carbon dioxide. If data sampling is in the time domain, the processing shifts the data from the time domain to the volume domain. The processing also iteratively assesses the significance of numerous variables. The resulting relationship provides a fast and accurate measure of blood gas content for both healthy and diseased lung patients.

Claims

1. A non-invasive arterial gas partial pressure determination system, comprising:

expiratory gas sampling means for taking one or more samples of expiratory gases from a patient and developing a gas profile for at least one constituent of said sampled gas; and

gas sampling data processing means for receiving data input representative of said gas profile and selectively processing said inputted data to determine at least one arterial gas partial pressure value.

2. A method for noninvasively determining a content of a Gas in blood of a patient, comprising:

obtaining data representative of the gas for at least one breath; and

evaluating a trend of said data over at least a portion of said at least one breath to determine the content of the gas.

3. The method of claim 2, wherein said obtaining data comprises obtaining data representative of carbon dioxide.

4. The method of claim 3, wherein said obtaining data representative of carbon dioxide comprises obtaining data representative of carbon dioxide expelled by alveoli.

5. The method of claim 2, wherein said obtaining data comprises taking time domain measurements.

6. The method of claim 5, wherein said taking time domain measurements is effected at a frequency of about 10 Hz to about 1,000 Hz.

7. The method of claim 5, further comprising converting said time domain measurements to a volume domain.

8. The method of claim 4, wherein said obtaining data comprises taking time domain measurements during at least one expiratory breath of the patient.

9. The method of claim 8, wherein said obtaining data further comprises calculating the content of carbon dioxide in the blood of the patient.

10. The method of claim 8, wherein said taking time domain measurements is effected at a frequency of about 10 Hz to about 1,000 Hz.

11. The method of claim 8, further comprising converting said time domain measurements to a volume domain.

12. The method of claim 2, wherein said taking time domain measurements is effected with a pneumotachometer and a gas sensor responsive to a presence of the gas.

13. The method of claim 4, wherein said evaluating said trend comprises:

mapping said data in a volume domain to form a curve;

determining a first data point at which said curve transcends a threshold carbon dioxide content;

calculating a first slope of said data from said first data point to a second data point at which said data deviates from a substantially linear path;

calculating, a second slope of said data from said second data point to a final expiratory data point of said data;

extracting said first slope and said second slope to create an expiratory relationship;

combining said expiratory relationship with stored arguments into at least one vector; and

using

estimating the content of carbon dioxide based on said at least one vector.

14. The method of claim 13, wherein said determining said first data point comprises determining a data point equal to about 0.5% of the content of carbon dioxide in the blood of the patient.

15. The method of claim 13, further comprising determining a partial pressure of carbon dioxide in the blood of the patient based on the carbon dioxide content.

16. The method of claim 2, further comprising filtering said data representative of the gas.

17. A method for noninvasively determining a content of carbon dioxide in blood of a patients comprising:

obtaining, data representative of carbon dioxide expelled by alveoli of the patient for at least one breath; and

evaluating a trend of said data over said at least one breath to determine the said content of carbon dioxide.

18. The method of claim 17, wherein said obtaining data comprises taking time domain measurements during at least one expiratory breath of the patient.

19. The method of claim 18, wherein said obtaining data further comprises measuring the content of carbon dioxide in the blood of the patient.

20. The method of claim 18, wherein said taking time domain measurements is effected at a frequency of about 10 Hz to about 1,000 Hz.

21. The method of claim 18, wherein said taking time domain measurements is effected with a pneumotachometer and a carbon dioxide sensor.

22. The method of claim 18, further comprising converting said time domain measurements to a volume domain.

23. The method of claim 17, wherein said evaluating said trend comprises:

mapping said data in a volume domain to form a curve;

determining a first data point at which said curve transcends a threshold carbon dioxide content;

calculating a first slope of said data from said first data point to a second data point at which said data deviates from a substantially linear path;

calculating a second slope of said data from said second data point to a final expiratory data point of said data;

extracting said first slope and said second slope to create an expiratory relationship;

combining said expiratory relationship with stored arguments into at least one vector; and

using

estimating the content of carbon dioxide based on said at least one vector.

24. The method of claim 23, wherein said determining said first data point comprises determining a data point equal to about 0.5% of the content of carbon dioxide in the blood of the patient.

25. The method of claim 23, further comprising determining a partial pressure of carbon dioxide in the blood of the patient based on the carbon dioxide content.

26. The method of claim 17, further comprising filtering said data representative of carbon dioxide expelled by alveoli.