Efficient evaluation of hearing ability

1. A method of establishing an individual hearing ability model for a person using a representation of a distribution of hearing ability for a population of individuals, the method comprising:

obtaining a probabilistic hearing ability model based on the representation of the distribution of the hearing ability for the population of individuals;

obtaining information regarding the person's response to a stimulus of a hearing evaluation event; and

updating, using a processor, the probabilistic hearing ability model to establish the individual hearing ability model for the person using the information regarding the person's response to the stimulus of the hearing evaluation event, wherein the probabilistic hearing ability model comprises a continuous function.

2. The method according to claim 1 , wherein the act of updating is based at least in part on additional information regarding the person's additional response related to the hearing evaluation event or an additional hearing evaluation event.

3. The method according to claim 1 , wherein the representation of the distribution of the hearing ability for the population of individuals comprises a mathematical population model.

4. The method according to claim 1 , further comprising:

determining an uncertainty relating to the individual hearing ability model based at least in part on the individual hearing ability model and the information.

5. The method according to claim 1 , further comprising:

determining at least one estimate of an objective function corresponding to at least one potential next hearing evaluation event based at least in part on the representation of the population.

6. The method according to claim 1 , wherein the individual hearing ability model is established using Bayes rule.

7. The method according to claim 1 , wherein the individual hearing ability model comprises one or more parameters.

8. The method according to claim 1 , wherein the probabilistic hearing ability model is obtained using one or more parameters selected from the group consisting of age, gender, and medical history.

9. The method of claim 8 , wherein the one or more parameters are included in the representation of the population.

10. The method according to claim 1 , wherein the hearing evaluation event comprises a pure tone air conducted stimulation, a pure tone bone conducted stimulation, a masked pure tone stimulation, a masked speech stimulation, a modulated tone stimulation, or any combination thereof.

11. The method according to claim 1 , wherein the information comprises a recording of an electrical potential related to a brain activity of the person.

12. The method of claim 1 , wherein the continuous function comprises a continuous probability density function.

13. A system for establishing an individual hearing ability model of a hearing ability of a person, comprising:

a data storage configured to store a representation of a distribution of a hearing ability of a population of individuals; and

a processor configured to

obtain a probabilistic hearing ability model based on the representation of the distribution of the hearing ability for the population of individuals,

obtain information regarding the person's response to a stimulus of a hearing evaluation event, and

updating the probabilistic hearing ability model to establish the individual hearing ability model for the person using the information regarding the person's response to the stimulus of the hearing evaluation event, wherein the probabilistic hearing ability model comprises a continuous function.

14. The system of claim 13 , further comprising a device for performing the hearing evaluation event.

15. The system according to claim 13 , further comprising a display device configured to display the individual hearing ability model, the stimulus, and the information.

16. The system according to claim 15 , wherein the display device is further configured to display one or more preferred hearing evaluation events.

17. The system according to claim 13 , further comprising a communication device configured to establish data communication to a remote data storage, wherein the remote data storage is configured to store data representing distribution of hearing ability of a plurality of hearing impaired individuals.

18. The system according to claim 13 , further comprising a display device configured to display a hearing threshold audiogram, together with a related uncertainty and one or more preferred pure tone stimuli.

19. The system of claim 13 , wherein the continuous function comprises a continuous probability density function.

20. A system for establishing an individual hearing ability model for a person using a representation of a distribution of hearing ability for a population of individuals, the system comprising:

means for obtaining a probabilistic hearing ability model based on the representation of the distribution of the hearing ability for the population of individuals;

means for obtaining information regarding the person's response to a stimulus of a hearing evaluation event; and

means for updating the probabilistic hearing ability model to establish the hearing ability model for the person using the information regarding the person's response to the stimulus of the hearing evaluation event, wherein the probabilistic hearing ability model comprises a continuous function.

21. The system of claim 20 , wherein the continuous function comprises a continuous probability density function.

22. A computer product having a non-transitory medium that stores instruction, an execution of which by a processor causes a process to be performed, the process comprising:

obtaining a probabilistic hearing ability model based on a representation of a distribution of hearing ability for a population of individuals;

obtaining information regarding a person's response to a stimulus of a hearing evaluation event; and

updating the probabilistic hearing ability model to establish an individual hearing ability model for the person using the information regarding the person's response to the stimulus of the hearing evaluation event, wherein the probabilistic hearing ability model comprises a continuous function.

23. The computer product of claim 22 , wherein the continuous function comprises a continuous probability density function.

24. A method of establishing an individual hearing ability model for a person using a representation of a distribution of hearing ability for a population of individuals, the method comprising:

obtaining a probabilistic hearing ability model based on the representation of the distribution of the hearing ability for the population of individuals;

obtaining information regarding the person's response to a stimulus of a hearing evaluation event; and

updating, using a processor, the probabilistic hearing ability model to establish the individual hearing ability model for the person using the information regarding the person's response to the stimulus of the hearing evaluation event;

wherein the individual hearing ability model for the person comprises an audiogram formed at least in part by an expected value of the updated probabilistic hearing ability model.

25. The method of claim 24 , wherein the probabilistic hearing ability model comprises a hearing threshold probability function.

26. The method of claim 25 , wherein the hearing threshold probability function comprises a hearing threshold probability density function.

27. The method of claim 25 , wherein the hearing threshold probability function comprises a hearing threshold cumulative distribution function.

28. The method of claim 24 , wherein the probabilistic hearing ability model comprises a continuous function.

29. A system for establishing an individual hearing ability model of a hearing ability of a person, comprising:

a data storage configured to store a representation of a distribution of a hearing ability of a population of individuals; and

a processor configured to

obtaining a probabilistic hearing ability model based on the representation of the distribution of the hearing ability for the population of individuals;

obtaining information regarding the person's response to a stimulus of a hearing evaluation event; and

updating the probabilistic hearing ability model to establish the individual hearing ability model for the person using the information regarding the person's response to the stimulus of the hearing evaluation event;

wherein the individual hearing ability model for the person comprises an audiogram formed at least in part by an expected value of the updated probabilistic hearing ability model.

30. The system of claim 29 , wherein the probabilistic hearing ability model comprises a hearing threshold probability function.

31. The system of claim 30 , wherein the hearing threshold probability function comprises a hearing threshold probability density function.

32. The system of claim 30 , wherein the hearing threshold probability function comprises a hearing threshold cumulative distribution function.

33. The system of claim 29 , wherein the probabilistic hearing ability model comprises a continuous function.

34. A method of establishing an individual hearing ability model for a person using a representation of a distribution of hearing ability for a population of individuals, the method comprising:

obtaining a probabilistic hearing ability model based on the representation of the distribution of the hearing ability for the population of individuals, wherein the probabilistic hearing ability model comprises a continuous hearing threshold probability function;

obtaining information regarding the person's response to a stimulus of a hearing evaluation event; and

updating, using a processor, the hearing threshold probability function to establish the individual hearing ability model for the person using the information regarding the person's response to the stimulus of the hearing evaluation event.

35. The method of claim 34 , wherein the individual hearing ability model for the person comprises an audiogram formed at least in part by an expected value of the updated hearing threshold probability function.

36. The method of claim 34 , wherein the hearing threshold probability function comprises a hearing threshold probability density function.

37. The method of claim 34 , wherein the hearing threshold probability function comprises a hearing threshold cumulative distribution function.

38. A system for establishing an individual hearing ability model of a hearing ability of a person, comprising:

a data storage configured to store a representation of a distribution of a hearing ability of a population of individuals; and

a processor configured to

obtaining a probabilistic hearing ability model based on the representation of the distribution of the hearing ability for the population of individuals, wherein the probabilistic hearing ability model comprises a continuous hearing threshold probability function;

obtaining information regarding the person's response to a stimulus of a hearing evaluation event; and

updating, using a processor, the hearing threshold probability function to establish the individual hearing ability model for the person using the information regarding the person's response to the stimulus of the hearing evaluation event.

39. The system of claim 38 , wherein the individual hearing ability model for the person comprises an audiogram formed at least in part by an expected value of the updated hearing threshold probability function.

40. The system of claim 38 , wherein the hearing threshold probability function comprises a hearing threshold probability density function.

41. The system of claim 38 , wherein the hearing threshold probability function comprises a hearing threshold cumulative distribution function.