METHOD AND APPARATUS FOR EVALUATING PHYSIOLOGICAL AGING LEVEL

• US 20160361027A1
• Filed: 01/07/2016
• Published: 12/15/2016
• Est. Priority Date: 06/15/2015
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Jang, Dae-Geun, Jung, Seungchul, Kim, Sang Joon, Kim, JongPal
• Granted Patent: US 10,980,490 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4857 Indicating the phase of biorhythm clocks or watches with indicators for biological cycles G04B19/264
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• 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: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method of evaluating a physiological aging level includes calculating a complexity corresponding to a change pattern of a physiological parameter sensed from a user, and determining an aging level indicating a physiological change progress of the user based on the complexity.

Claims

1. A method of evaluating a physiological aging level, the method comprising:

calculating a complexity corresponding to a change pattern of a physiological parameter sensed from a user based on the physiological parameter sensed from the user; and

determining an aging level indicating a physiological change progress of the user based on the complexity.

2. The method of claim 1, wherein the calculating comprises either one or both of:

calculating a variance in the complexity based on the complexity; and

calculating a relative ratio of the physiological parameter to the complexity or a relative ratio of a variance in the physiological parameter to the complexity.

3. The method of claim 2, wherein the determining comprises determining the aging level based on the complexity and either one or both of the variance in the complexity and the relative ratio.

4. The method of claim 1, wherein the determining comprises determining the aging level by substituting the complexity into an aging function.

5. The method of claim 4, wherein the aging function comprises at least one coefficient determined using a regression analysis performed based on the complexity and information related to an age of the user.

6. The method of claim 1, wherein the calculating comprises calculating the complexity of the physiological parameter based on any one or any combination of any two or more of a Poincare plot of the physiological parameter, a fractal dimension of the physiological parameter, a chaotic dynamic parameter of the physiological parameter, and an entropy of the physiological parameter.

7. The method of claim 1, wherein the calculating comprises calculating a decrease rate of the complexity or an increase rate of the complexity.

8. The method of claim 1, wherein the physiological parameter comprises any one or any combination of any two or more of a heart rate, a blood pressure, and a pulse transit time (PTT) of the user.

9. The method of claim 1, further comprising receiving a physiological parameter continuously sensed from the user during a daily life of the user;

wherein the calculating comprises calculating the complexity based on the physiological parameter continuously sensed from the user.

10. The method of claim 1, wherein the determining comprises:

determining a first aging level of the user in a first time interval based on the complexity; and

determining a second aging level of the user in a second time interval based on the first aging level.

11. The method of claim 1, wherein the determining comprises evaluating an aging level of the user based on a reference aging level.

12. The method of claim 1, wherein the determining comprises determining the aging level of the user based on preset gender-specific and age-specific aging levels.

13. The method of claim 1, wherein the determining comprises determining the aging level of the user based on a time or a state of the user;

and

the state of the user is based on a physical activity of the user.

14. The method of claim 13, further comprising receiving the state of the user from the user.

15. The method of claim 1, further comprising generating information related to a circadian rhythm of the user based on the aging level.

16. The method of claim 15, wherein the generating comprises generating cumulative information related to the circadian rhythm by accumulating information related to the circadian rhythm generated during a predetermined period.

17. The method of claim 16, further comprising generating information indicating a standard biorhythm of the user based on the cumulative information.

18. The method of claim 17, further comprising:

generating information for improving a life habit of the user based on the information indicating the standard biorhythm of the user; and

providing the information for improving the life habit to the user.

19. The method of claim 17, wherein the generating of the information related to the circadian rhythm comprises generating information indicating a daily circadian rhythm of the user.

20. The method of claim 19, further comprising:

calculating a synchronicity between the daily circadian rhythm of the user and the standard biorhythm of the user;

evaluating an irregularity in a life pattern of the user based on the synchronicity; and

providing feedback on the evaluated irregularity to the user.

21. The method of claim 15, further comprising providing any one or any combination of any two or more of a life habit guidance, an exercise program, and a rest program for the user based on the information related to the circadian rhythm of the user.

22. A non-transitory computer-readable storage medium storing instructions to cause a computer to perform the method of claim 1.

23. An apparatus for evaluating a physiological aging level, the apparatus comprising:

a sensor configured to sense a physiological parameter from a user; and

a processor configured to calculate a complexity corresponding to a change pattern of the physiological parameter based on the physiological parameter sensed from the user, and determine an aging level indicating a physiological change progress of the user based on the complexity.

24. The apparatus of claim 23, wherein the processor is further configured to calculate either one or both of a variance in the complexity and a relative ratio that is a relative ratio of the physiological parameter to the complexity or a relative ratio of the variance in the physiological parameter to the complexity, and determine the aging level based on the complexity and either one or both of the variance in the complexity and the relative ratio.

25. The apparatus of claim 23, wherein the sensor is further configured to continuously sense the physiological parameter from the user during daily life of the user;

and

the processor is further configured to calculate the complexity based on the physiological parameter continuously sensed from the user.

26. The apparatus of claim 23, wherein the processor is further configured to determine a first aging level of the user in a first time interval, and determine a second aging level of the user in a second time interval based on the first aging level.

27. The apparatus of claim 23, wherein the processor is further configured to evaluate the aging level of the user relative to an actual age of the user or a target age based on a reference aging level corresponding to the actual age of the user or the target age.

28. The apparatus of claim 23, wherein the processor is further configured to determine the aging level of the user based on a time or a state of the user;

and

the state of the user is based on a physical activity of the user.

29. The apparatus of claim 28, further comprising a user interface (UI) configured to receive the state of the user from the user.

30. The apparatus of claim 23, wherein the processor is further configured to generate information related to a circadian rhythm of the user based on the aging level.

31. The apparatus of claim 30, wherein the processor is further configured to generate cumulative information by accumulating information related to the circadian rhythm generated during a predetermined period, and generate information indicating a standard biorhythm of the user based on the cumulative information.

32. An apparatus for evaluating an aging characteristic, the apparatus comprising:

a sensor configured to sense a physiological parameter from a user; and

a processor configured to calculate a complexity corresponding to a change pattern of the physiological parameter based on the physiological parameter sensed from the user, and determine an aging characteristic of the user based on the complexity.

33. The apparatus of claim 32, wherein the processor is further configured to compare the aging characteristic of the user to a reference aging characteristic, and evaluate the aging characteristic of the user based on a result of the comparing.

34. The apparatus of claim 32, wherein the processor is further configured to calculate a difference between the aging characteristic of the user and a reference aging characteristic, accumulate the difference over a period of time, and evaluate the aging characteristic of the user based on the accumulated difference.

35. The apparatus of claim 34, wherein the aging characteristic of the user is an aging level of the user that changes as a level of physical activity of the user changes and represents a physiological change progress of the user due to aging of the user;

the reference aging characteristic is a reference aging level corresponding to an actual age of the user or a target age; and

the processor is further configured to evaluate the aging level of the user as being greater than the reference aging level in response to the accumulated difference being positive, and as being less than the reference aging level in response to the accumulated difference being negative.