Bio-accurate temperature measurement device and method of quantitatively normalizing a body temperature measurement to determine a physiologically significant temperature event

• US 20070161921A1
• Filed: 05/15/2006
• Published: 07/12/2007
• Est. Priority Date: 01/07/2006
• Status: Abandoned Application

• Current Assignee: Medical College of Georgia (University System of Georgia)
• Original Assignee: Medical College of Georgia (University System of Georgia)
• Inventors: Rausch, Jeffrey
• Application Number:
  US11/434,294
• Publication Number:
  US 20070161921A1
• Time in Patent Office: Days
• US Class Current: 600/549
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A device for determining normalized body temperature comprising a temperature sensor, an input device, a processor configured with a temperature-normalizing algorithm, memory, and an output device is described herein. Also disclosed is a method for determining physiologically significant changes in body temperature comprising providing raw body temperature of a subject, providing data for a temperature-normalizing algorithm, quantitatively normalizing the raw body temperature with an algorithm comprising an equation containing at least one body temperature-affecting variable to obtain a normalized body temperature, and comparing the normalized body temperature to a second temperature.

Claims

1. A device for determining a normalized body temperature of a subject comprising

a) a temperature sensor for sensing raw body temperature of a subject,

b) an input/output (I/O) interface configured to receive the sensed raw body temperature from the temperature sensor, and

c) a processor configured to receive the sensed raw body temperature via the I/O interface and configured to perform a temperature-normalizing algorithm to obtain a normalized body temperature.

2. The device of claim 1 further comprising an input device, in communication with the I/O interface, for entering temperature-affecting variable information into the device for use by the processor in performing the temperature-normalizing algorithm.

3. The device of claim 1 further comprising an output device, in communication with the I/O interface, for receiving the normalized body temperature and providing the normalized body temperature in a manner accessible to a user.

4. The device of claim 1 further comprising a memory device.

5. The device of claim 2 wherein the input device is a keypad, a keyboard, clock, a port, or a combination thereof.

6. The device of claim 3 wherein the output device is a screen, a port, an audio device, or a combination thereof.

7. The device of claim 6 wherein the output device is a screen and the screen displays raw body temperature and/or normalized body temperature.

8. The device of claim 1 wherein the temperature-normalizing algorithm comprises a quantitative temperature-normalizing equation:

T_BA=T_R−

0.104G+0.0107A+0.549(sin(2π

t))−

0.614(cos(2π

t))−

1.172,

wherein

T_BA=normalized body temperature,

T_R=raw body temperature,

G=gender (1=male, 2=female),

A=age (years), and

t=time of day (in decimal proportion of the day).

9. The device of claim 8 wherein the algorithm further comprises a temperature differential equation:

Δ

T=T_BA2−

T_BA1.

10. A method for normalizing body temperature of a subject comprising

a) providing raw body temperature (T_R) of a subject,

b) quantitatively normalizing the raw body temperature (T_R) with a temperature-normalizing algorithm wherein the algorithm comprises an equation containing at least one body temperature-affecting variable to obtain a normalized body temperature (T_BA).

11. The method of claim 10 wherein providing raw body temperature is via measurement of raw body temperature.

12. The method of claim 10 wherein the equation is

T_BA=T_R−

0.104G+0.0107A+0.549(sin(2π

t))−

0.614(cos(2π

t))−

1.172,

wherein

T_BA=normalized body temperature,

T_R=raw body temperature,

G=gender (1=male, 2=female),

A=age (years), and

t=time of day (in decimal proportion of the day).

13. A method for determining a physiologically significant change in body temperature of a subject comprising

a) providing raw body temperature (T_R) of a subject;

b) providing data for a temperature-normalizing algorithm;

c) quantitatively normalizing the raw body temperature (T_R) with the algorithm wherein the algorithm comprises an equation containing at least one body temperature-affecting variable to obtain a normalized body temperature (T_BA); and

d) comparing the normalized body temperature (T_BA) to a second temperature.

14. The method of claim 13 wherein providing raw body temperature is via measurement of raw body temperature.

15. The method of claim 13 wherein the subject is a human or an animal.

16. The method of claim 13 wherein the physiological significant change in body temperature correlates to an immune response.

17. The method of claim 13 wherein the physiological significant change in body temperature correlates to an inflammatory disease.

18. The method of claim 13 wherein the physiological significant change in body temperature correlates to depression.

19. The method of claim 13 wherein the physiological significant change in body temperature correlates to ovulation.

20. The method of claim 13 wherein the equation is

T_BA=T_R−

0.104G+0.0107A+0.549(sin(2π

t))−

0.614(cos(2π

t))−

1.172,

wherein

T_BA=normalized body temperature,

T_R=raw body temperature,

G=gender (1=male, 2=female),

A=age (years), and

t=time of day (in decimal proportion of the day).

21. The method of claim 19 wherein the providing data comprises provisions of numerical figures for gender, age, and time of day.

22. The method of claim 13 wherein the second temperature is a normalized body temperature from a different subject, a normalized body temperature of the same subject from a different time, or a baseline average population body temperature.

23. The method of claim 13 further comprising determining an algorithm for normalizing body temperature.

24. The method of claim 13 further comprising diagnosing or identifying a physiological condition or event based on the comparison of the normalized body temperature to the second temperature and on known correlations of body temperature and the physiological condition or event.

25. A method for determining febrile conditions in a subject comprising

a) taking or referring to a patient history including questions related to symptoms of fever;

b) performing a physical exam including at least measuring the patient'"'"'s body temperature;

c) normalizing the patient'"'"'s temperature measurement using a quantitative temperature-normalizing algorithm comprising an equation containing at least one body temperature-affecting variable; and

d) analyzing the history, physical exam, and normalized temperature information to determine the probability of fever based on known correlations of that information and fever.

26. A method for determining ovulation in a subject comprising

a) determining raw basal body temperature of a female subject;

b) normalizing the raw basal body temperature using a quantitative temperature-normalizing algorithm comprising an equation containing at least one body temperature-affecting variable;

c) charting the normalized basal body temperature over a period of time, and

d) identifying a rise in normalized basal body temperature which correlates with ovulation having occurred.

27. A method for diagnosing depression in subject comprising

a) taking or referring to a patient history including questions related to depression;

b) performing a physical exam including at least measuring the patient'"'"'s body temperature;

c) normalizing the patient'"'"'s temperature measurement using a quantitative temperature-normalizing algorithm comprising an equation containing at least one body temperature-affecting variable; and

d) analyzing the history, physical exam, and normalized body temperature information to determine the probability of depression based on known correlations of that information and depression.

28. A computer program product for normalizing body temperature, the program being embodied on a computer-readable medium, on which is carried the program comprising:

a code segment comprising a quantitative temperature-normalizing algorithm comprising an equation containing at least one body temperature-affecting variable.

29. The product of claim 28 wherein the algorithm comprises an equation

T_BA=T_R−

0.104G+0.0107A+0.549(sin(2π

t))−

0.614 (cos(2π

t))−

1.172,

wherein

T_BA=normalized body temperature,

T_R=raw body temperature,

G=gender (1=male, 2=female),

A=age (years), and

t=time of day (in decimal proportion of the day).