System and method for sound and oximetry integration

• US 20060155206A1
• Filed: 03/07/2006
• Published: 07/13/2006
• Est. Priority Date: 01/27/1997
• Status: Abandoned Application

• Current Assignee: Lawrence A. Lynn
• Original Assignee: Lawrence A. Lynn
• Inventors: Lynn, Lawrence A.
• Application Number:
  US11/369,379
• Publication Number:
  US 20060155206A1
• Time in Patent Office: Days
• US Class Current: 600/529
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0836 Measuring rate of CO2 production
• CPC Class Codes: A61B 5/087 Measuring breath flow
• CPC Class Codes: A61B 5/0871 Peak expiratory flowmeters
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise
• CPC Class Codes: A61M 16/0051 with alarm devices
• CPC Class Codes: A61M 16/026 specially adapted for predicting, e.g. for determining an information representative of a flow limitation during a ventilation cycle by using a root square technique or a regression analysis
• CPC Class Codes: A61M 16/085 Gas sampling
• CPC Class Codes: A61M 16/0858 Pressure sampling ports
• CPC Class Codes: A61M 2016/0027 pressure meter
• CPC Class Codes: A61M 2016/0042 : in the expiratory circuit
• CPC Class Codes: A61M 2205/50 : with microprocessors or computers
• CPC Class Codes: A61M 2205/502 : User interfaces, e.g. screens or keyboards
• CPC Class Codes: A61M 2205/8206 : battery-operated
• CPC Class Codes: A61M 2230/205 : partial oxygen pressure (P-O2)
• CPC Class Codes: A61M 2230/432 : partial CO2 pressure (P-CO2)
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 : for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The disclosed embodiments relate to a patient monitor for evaluating a patient. The patient monitor may comprise a sensor that is adapted to detect a sound associated with breathing of the patient and to produce a first output indicative of the sound, an oximeter that is adapted to receive an input from the patient and to produce a second output indicative of oxygen saturation of blood of the patient, and a processor adapted to receive at least the first output and the second output and to correlate the first output with the second output.

Claims

1. A patient monitor for evaluating a patient, comprising:

a sensor that is adapted to detect a sound associated with breathing of the patient and to produce a first output indicative of the sound;

an oximeter that is adapted to receive an input from the patient and to produce a second output indicative of oxygen saturation of blood of the patient; and

a processor adapted to receive at least the first output and the second output and to correlate the first output with the second output.

2. The patient monitor recited in claim 1, wherein the correlation takes into account a determination of at least one of an apnea and a hypopnea.

3. The patient monitor of claim 1 wherein the processor is programmed to calculate a relationship between the first output and the second output.

4. The patient monitor of claim 1 wherein the processor is programmed to calculate an index of the second output based on the first output.

5. The patient monitor of claim 1, wherein the processor is programmed to determine at least one pattern of breathing using both the first output and the second output.

6. The patient monitor of claim 1, wherein the processor is programmed to determine at least one pattern of apneas using both the first output and the second output.

7. The patient monitor of claim 1, wherein the processor is programmed to determine at least one pattern of hypopneas using both the first output and the second output.

8. A method for evaluating a patient, comprising:

detecting a sound associated with breathing of the patient;

producing a first output indicative of the sound;

measuring an oxygen saturation of blood of the patient;

producing a second output indicative of the oxygen saturation of the blood; and

using a processor, comparing the first output with the second output.

9. The method recited in claim 8, comprising determining whether the first output and the second output are indicative of at least one of an apnea and a hypopnea.

10. The method recited in claim 8, comprising calculating a relationship between the first output and the second output.

11. The method recited in claim 8, comprising calculating an index of the second output based on the first output.

12. The method recited in claim 8, comprising determining at least one pattern of breathing using both the first output and the second output.

13. The method recited in claim 8, comprising determining at least one pattern of apneas using both the first output and the second output.

14. The method recited in claim 8, comprising determining at least one pattern of hypopneas using both the first output and the second output.

15. A method of evaluating data, comprising:

accessing oxygen saturation data indicative of oxygen saturation of blood of a patient;

accessing sound data indicative of a sound associated with breathing of the patient, the sound data being time-correlated to the oxygen saturation data;

searching the oxygen saturation data for at least one pattern; and

correlating the sound data with oxygen saturation data corresponding to the pattern.

16. The method recited in claim 15, comprising determining whether the pattern is indicative of at least one of an apnea and a hypopnea.

17. The method recited in claim 15, comprising calculating a relationship between the oxygen saturation data and the sound data.

18. The method recited in claim 15, comprising calculating an index of the sound data based on the oxygen saturation data.

19. The method recited in claim 15, comprising determining at least one pattern of breathing using both the oxygen saturation data and the sound data.

20. The method recited in claim 15, comprising determining at least one pattern of apneas using both the oxygen saturation data and the sound data.

21. The method recited in claim 15, comprising determining at least one pattern of hypopneas using both oxygen saturation data and the sound data.

22. A method of evaluating data, comprising:

accessing oxygen saturation data indicative of oxygen saturation of blood of a patient;

accessing sound data indicative of a sound associated with breathing of the patient, the sound data being time-correlated to the oxygen saturation data;

searching the sound data for at least one pattern; and

correlating the sound data with oxygen saturation data corresponding to the pattern.

23. The method recited in claim 22, comprising determining whether the pattern is indicative of at least one of an apnea and a hypopnea.

24. The method recited in claim 22, comprising calculating a relationship between the oxygen saturation data and the sound data.

25. The method recited in claim 22, comprising calculating an index of the sound data based on the oxygen saturation data.

26. The method recited in claim 22, comprising determining at least one pattern of breathing using both the oxygen saturation data and the sound data.

27. The method recited in claim 22, comprising determining at least one pattern of apneas using both the oxygen saturation data and the sound data.

28. The method recited in claim 22, comprising determining at least one pattern of hypopneas using both the oxygen saturation data and the sound data.

29. A method of evaluating data, comprising:

accessing oxygen saturation data indicative of oxygen saturation of blood of a patient;

accessing sound data indicative of a sound associated with breathing of the patient, the sound data being time-correlated to the oxygen saturation data;

searching both the sound data and oxygen saturation data for at least one pattern; and

generating an output in response to detection of the pattern.

30. A system for evaluating a patient, comprising:

means for detecting a sound associated with breathing of the patient;

means for producing a first output indicative of the sound;

means for measuring an oxygen saturation of blood of the patient;

means for producing a second output indicative of the oxygen saturation of the blood; and

means for comparing the first output with the second output.

31. A tangible machine-readable medium, comprising:

code adapted to detect a sound associated with breathing of the patient;

code adapted to produce a first output indicative of the sound;

code adapted to measure an oxygen saturation of blood of the patient;

code adapted to produce a second output indicative of the oxygen saturation of the blood; and

code adapted to compare the first output with the second output.