Apparatus and method for processing bio-information

1. A bio-information processing apparatus, comprising:

an in vivo material measurer configured to measure an in vivo material of a user; and

a processor configured to extract a pattern of change of the in vivo material of the user based on information of the change of the in vivo material that is measured at regular time intervals or successively, and compare the extracted pattern of change of the in vivo material with a biological rhythm reference model, and determine whether biological rhythms of the user are disrupted based on a result of the comparison.

2. The apparatus of claim 1 , wherein the in vivo material comprises at least one of triglyceride, free fatty acid, blood glucose, amino acid, and various hormone concentrations.

3. The apparatus of claim 1 , wherein the biological rhythms are circadian rhythms.

4. The apparatus of claim 1 , wherein the biological rhythm reference model is classified into one or more groups based on user feature information that comprises at least one of age, gender, stature, weight, and health information of a plurality of users, and based on user context information that comprises at least one of sleep, meal, exercise, heart rate, blood pressure, body temperature, a measurement time, and a measurement place.

5. The apparatus of claim 4 , wherein upon receiving a bio-information processing request from the user, the processor selects the biological rhythm reference model from among the one or more groups based on the user feature information and the user context information.

6. The apparatus of claim 1 , wherein the pattern of change of the in vivo material comprises at least one of an amount of change over time in the in vivo material, a time of reaching a maximum value of the in vivo material, and an area under curve (AUC) of a graph of a time-in vivo material concentration.

7. The apparatus of claim 6 , wherein in response to at least one of a difference between the amount of change over time in the in vivo material and an amount of change in the biological rhythm reference model, a difference between the time of reaching the maximum value of the in vivo material and a time of reaching a maximum value in the biological rhythm reference model, and a difference between the area under curve (AUC) in the graph of the time-in vivo material concentration and an AUC in the biological rhythm reference model being outside a predetermined reference range, the processor determines that the biological rhythms of the user are disrupted.

8. The apparatus of claim 1 , wherein the in vivo material measurer comprises:

a light source configured to emit a light onto the user; and

a detector configured to detect the light returning from the user.

9. The apparatus of claim 1 , wherein upon determining that the biological rhythms of the user are disrupted, the processor generates warning information based on the determination.

10. The apparatus of claim 9 , further comprising an output interface configured to output at least one of the measured in vivo material information, the extracted pattern of change of the in vivo material, the determination on whether the biological rhythms are disrupted, and the warning information.

11. A bio-information processing method, comprising:

measuring an in vivo material of a user;

extracting a pattern of change of the in vivo material of the user based on information of the change of the in vivo material that is measured at regular time intervals or successively;

comparing the extracted pattern of change of the in vivo material with a biological rhythm reference model; and

determining whether biological rhythms of the user are disrupted based on a result of the comparison.

12. The method of claim 11 , wherein the in vivo material comprises at least one of triglyceride, free fatty acid, blood glucose, amino acid, and various hormone concentrations.

13. The method of claim 11 , wherein the biological rhythms are circadian rhythms.

14. The method of claim 11 , wherein the biological rhythm reference model is classified into one or more groups based on user feature information that comprises at least one of age, gender, stature, weight, and health information of a plurality of users, and based on user context information that comprises sleep, meal, exercise, heart rate, blood pressure, body temperature, a measurement time, and a measurement place.

15. The method of claim 14 , further comprising selecting the biological rhythm reference model from among the one or more groups based on the user feature information and the user context information in response to receiving a bio-information processing request.

16. The method of claim 11 , wherein the pattern of change of the in vivo material comprises at least one of an amount of change over time in the in vivo material, a time of reaching a maximum value of the in vivo material, and an area under curve (AUC) of a graph of a time-in vivo material concentration.

17. The method of claim 16 , wherein the determining whether the biological rhythms are disrupted comprises determining that the biological rhythms of the user are disrupted in response to at least one of a difference between the amount of change over time in the in vivo material and an amount of change in the biological rhythm reference model, a difference between the time of reaching a maximum value of the in vivo material and a time of reaching a maximum value in the biological rhythm reference model, and a difference between the area under curve (AUC) in the graph of the time-in vivo material concentration and an AUC in the biological rhythm reference model being outside a predetermined reference range.

18. The method of claim 11 , wherein the measuring of the in vivo material of the user comprises:

emitting a light onto the user; and

detecting the light returning from the user.

19. The method of claim 11 , comprising, upon determining that the biological rhythms of the user are disrupted, generating warning information based on the determination.

20. The method of claim 19 , further comprising outputting at least one of the measured in vivo material information, the extracted pattern of change of the in vivo material, the determination on whether the biological rhythms are disrupted, and the warning information.