Condition analysis

• US 8,626,522 B2
• Filed: 09/19/2003
• Issued: 01/07/2014
• Est. Priority Date: 09/20/2002
• Status: Active Grant

• Current Assignee: Neurotech Research Pty. Ltd.
• Original Assignee: Neurotech Research Pty. Ltd.
• Inventors: Greenwood, Nigel
• Primary Examiner(s): Lubin, Valerie
• Assistant Examiner(s): LAM, ELIZA ANNE
• Application Number:
  US10/528,606
• Publication Number:
  US 20060116910A1
• Time in Patent Office: 3,763 Days
• Field of Search: None
• US Class Current: 705/2
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

The present invention provides a method of determining a treatment program for a subject. The method includes obtaining subject data representing the subject'"'"'s condition. The subject data is used together with a model of the condition, to determine system values representing the condition. These system values are then used to determining one or more trajectories representing the progression of the condition in accordance with the model. From this, it is possible to determine a treatment program in accordance with the determined trajectories.

Claims

1. A method of determining a treatment program for a subject, the method being performed by a processing system, the method comprising:

a) obtaining subject data, the subject data representing the subject'"'"'s a condition of the subject;

b) constructing a mathematical model comprising one or more differential equations representing a progression of the condition, the progression being a development of the condition over time;

c) analyzing, using the processing system, the subject data and the model of the condition to determine system values representing the condition;

d) determining, using the processing system, one or more solution trajectories, the solution trajectories being solutions to the differential equations and representing potential routes of progression of the condition within the subject, the solution trajectories being determined in accordance with the model and the determined system values; and

e) determining a treatment program in accordance with the determined solution trajectories.

2. A method according to claim 1, the subject data representing a medical condition for the respective subject, the method comprising determining solution trajectories representing the progression of the medical condition within the subject.

3. A method according to claim 1, each system value representing a quantity obtained for the measurement of a respective attribute of the condition, the system values comprising:

a) state variable values representing rapidly changing attributes; and

b) parameter values representing slowly changing or constant attributes.

4. A method according to claim 1, the method comprising determining control variable values, the control variables representing attributes of the condition that can be externally controlled.

5. A method according to claim 4, the model comprising one or more model equations representing the condition, the method comprising determining one or more subject equations in accordance with the model equation(s) and the system values.

6. A method according to claim 5, the method of determining the treatment program comprising:

a) evaluating the behavior of solution trajectories representing solutions of the subject equations;

b) determining a set of target points, the target points comprising stable points for the subject equation(s); and

c) determining one or more control programs, each control program comprising a sequence of control variable values that result in solution trajectories having desired behavior comprising at least one of;

i) the solution trajectories are acceptable based on predefined criteria;

ii) the solution trajectories do not move away from the target points; and

iii) the solution trajectories finally approach the target points.

7. A method according to claim 6, the method comprising determining the solution trajectories to be acceptable if the solution trajectories are- non-chaotic;

and sufficiently smooth so that the solution trajectories represent progressions of the condition that do not adversely affect the subject.

8. A method according to claim 6, the method of evaluating the behavior of the solution trajectories comprising:

a) determining regions of control variable and/or parameter values for which the solution trajectories are chaotic; and

b) determining ranges of the control variable and/or parameter values for which the solution trajectories can be made non-chaotic, or otherwise stabilized.

9. A method according to claim 8, the method comprising determining one or more control programs in accordance with the determined ranges.

10. A method according to claim 8, the method comprising using a Liapunov function to determine the one or more control programs.

11. A method according to claim 10, the method comprising:

a) defining a Liapunov function for which the gradient defines solution trajectories moving towards the target points;

b) defining constraints on the control variable values; and

c) determining control variable values that result in solution trajectories travelling down the gradient of the Liapunov function in accordance with the constraints.

12. A method according to claim 11, wherein the constraints comprise limits on the treatment that can be provided to the subject.

13. A method according to claim 8, the method comprising determining a treatment in accordance with one or more of the determined control programs by:

a) viewing a representation of the solution trajectories, the representation comprising an indication of the chaotic regions; and

b) selecting a control program in accordance with the represented solution trajectories.

14. A method according to claim 6, the method comprising:

a) determining one or more Nature values, the Nature values being quantities of Nature parameters and/or variables representing attributes of the condition that will cause the condition to progress in an undesirable manner;

b) modifying the subject equations to incorporate the one or more Nature values;

c) evaluating the behavior of modified solution trajectories representing solutions of the modified subject equations; and

d) performing at least one of;

i) determining one or more control programs, each control program comprising control variable values that result in modified solution trajectories having desired behavior; and

ii) determining a set of undesired points, the undesired points comprising unstable points for the subject equation(s); and

iii) determining one or more undesired programs, each undesired program comprising Nature values that result in modified solution trajectories having undesired behavior comprising at least one of;

(1) the modified solution trajectories are unacceptable based on predefined criteria;

(2) the modified solution trajectories do not move away from the undesired points; and

(3) the modified solution trajectories finally approach the undesired points.

15. A method according to claim 14, the method comprising, using the modified solution trajectories, the method of evaluating the behavior of the solution trajectories comprising:

a) determining regions of control variable and/or parameter values for which the solution trajectories are chaotic; and

b) determining ranges of the control variable and/or parameter values for which the solution trajectories can be made non-chaotic, or otherwise stabilized.

16. A method according to claim 15, the method comprising:

a) defining a second Liapunov function for which the gradient defines modified solution trajectories moving towards the undesired points;

b) defining constraints on the Nature values; and

c) determining Nature values that result in modified solution trajectories travelling down the gradient of the second Liapunov function in accordance with the constraints.

17. A method according to claim 16, the method comprising determining the treatment program in accordance with control programs and the Nature programs by:

a) determining starting points having modified solution trajectories for which control programs exist;

b) determining starting points having modified solution trajectories for which Nature programs exist;

c) viewing a representation comprising at least one of;

i) the modified solution trajectories;

ii) the starting points; and

iii) the chaotic regions; and

d) selecting a control program in accordance with one or more represented solution trajectories.

18. A method according to claim 2, the method comprising determining parameter values by:

a) determining a partial set of system values from the subject data;

b) selecting one or more models, each model comprising one or more equations representing the effect of a condition on a subject;

c) determining a complete set of system values in accordance with the determined partial set of system values and the respective equations; and

d) selecting a model in accordance with the determined complete set of system values.

19. A method according to claim 18, the step of determining the complete set of system values comprising:

a) determining a candidate set of system values in accordance with the determined partial set of system values and the equations;

b) comparing the candidate set of system values to at least one of;

i) the partial set of system values; and

ii) predetermined thresholds; and

c) selecting the model in accordance with the result of the comparison.

20. A method according to claim 1, the method comprising:

a) determining stability sets; and

b) determining the treatment in accordance with the stability sets.

21. A method according to claim 20, wherein the stability sets represent combinations of state and parameter values for which the resulting solution trajectories are acceptable.

22. A method according to claim 20, the method comprising determining a control program in accordance with the stability sets.

23. A method according to claim 21, the method comprising:

a) considering subject state variable and parameters values for the subject;

b) determining modification of the state variable and parameter values required such that the subject'"'"'s state variable and parameter values fall within the stability sets; and

c) determining the treatment program in accordance with the required modification of the state variable and parameter values.

24. A method according to claim 19, the method comprising determining a medication dosage regime in accordance with the determined stability sets.

25. A method according to claim 1, the method comprising determining a control program using one or more of:

a) Liapunov functions;

b) dynamic optimization techniques;

c) convex set algorithms.

26. A method according to claim 1, wherein the subject is a patient.

27. A method according to claim 1, wherein the treatment is the administration of medication.

29. A method according to claim 1, wherein the step of analyzing the subject data comprises:

a) determining a partial set of system values from the subject data, each system value representing a quantity obtained by the measurement of a respective attribute of the condition;

b) determining a plurality of models, each model comprising one or more equations representing the effect of a condition on a subject;

c) calculating a complete set of system values in accordance with the partial set of system values and the respective equation, for each model; and

d) selecting one model of the plurality of models in accordance with the determined complete set of system values.

30. A method according to claim 29, wherein the system values comprise:

a) state variable values representing rapidly changing attributes; and

b) parameter values representing slowly changing or constant attributes.

31. A method of claim 29, wherein calculating the complete set of system values comprises:

a) determining a candidate set of system values in accordance with the determined partial set of system values and the equations;

b) comparing the candidate set of system values to at least one of the partial set of system values, and predetermined thresholds; and

c) selecting the model in accordance with the result of the comparison.

32. A method according to claim 1, further comprising the step of determining the effectiveness of treatment provided to a subject, the effectiveness determination comprising:

a) repeating the steps of obtaining subject data and analyzing the subject data to determine modified system values;

b) comparing the system values and the modified system values; and

c) determining the effect of the treatment in accordance with the results of the comparison.

28. Apparatus for determining a treatment program for a subject, the apparatus comprising a processing system adapted to:

a) obtain subject data, the subject data representing a condition of the subject;

b) constructing a mathematical model is constructed comprising one or more differential equations representing a progression of the condition, the progression being a development of the condition over time;

c) analyze the subject data and the model of the condition to determine system values representing the condition;

d) determine one or more solution trajectories, the solution trajectories being solutions to the differential equations and representing potential routes of progression of the condition within the subject, the solution trajectories being determined in accordance with the model and the determined system values; and

e) determine a treatment program in accordance with the determined solution trajectories.