System and methods for creating reduced test sets used in assessing subject response to stimuli

• US 9,844,326 B2
• Filed: 08/29/2008
• Issued: 12/19/2017
• Est. Priority Date: 08/29/2008
• Status: Active Grant

• Current Assignee: Cochlear Limited, University of Florida Research Foundation, Incorporated (State University System of Florida)
• Original Assignee: Cochlear Limited, University of Florida Research Foundation, Incorporated (State University System of Florida)
• Inventors: Banerjee, Bonny, Krause, Lee Stanley, Holmes, Alice, Shrivastav, Rahul
• Primary Examiner(s): Stout, Michael C
• Application Number:
  US12/201,492
• Publication Number:
  US 20100056950A1
• Time in Patent Office: 3,399 Days
• Field of Search: 73585, 381329, 381 60, 600559
• CPC Class Codes: A61B 5/121 evaluating hearing capacity
• CPC Class Codes: H04R 2225/43 Signal processing in hearing aids to enhance the speech intelligibility
• CPC Class Codes: H04R 25/70 Adaptation of deaf aid to hearing loss, e.g. initial electronic fitting

Abstract

A computer-implemented method for generating a test set for testing a subject using a computer system comprising logic-based processing circuitry is provided. The method includes the step of selecting one or more features from among a plurality of features, wherein a measurable effect on the subject of each feature selected is based on a predetermined threshold. The method also includes generating one or more classes of stimuli based on the selected features. The method further includes selecting stimuli from one or more of said classes for presenting to the subject.

Claims

1. A computer-implemented method for generating a test set for testing a subject using a computer system comprising logic-based processing circuitry, the method comprising:

selecting at least one feature from among a plurality of features, wherein the at least one feature is selected based upon a measure of the role of the at least one feature in determining the subject'"'"'s hearing ability;

based on the at least one selected feature, generating one or more classes of stimuli;

presenting at least one stimulus from the one or more classes of stimuli to a subject;

modifying at least one of the one or more classes, wherein modifying at least one of the one or more classes comprises randomly removing a stimulus from at least one of the one or more classes to generate one or more modified classes;

presenting at least one stimulus from the one or more modified classes; and

adjusting at least one operational parameter of a hearing-enhancement device based at least in part on a hearing performance of the patient with respect to different parameter values.

2. The method of claim 1, further comprising selecting at least one stimulus associated with a non-selected feature to present to the subject.

3. The method of claim 2, wherein selecting at least one stimulus associated with a non-selected feature is repeated iteratively.

4. The method of claim 3, wherein iteratively selecting at least one stimulus associated with a non-selected feature comprises selecting one less stimulus from a class comprising more than one stimulus.

5. The method of claim 4, wherein the at least one stimulus associated with a non-selected feature is randomly selected.

6. The method of claim 1, further comprising initially presenting each of a predetermined number of stimuli prior to selecting from among the plurality of features associated with each of the predetermined number of stimuli.

7. The method of claim 6, wherein selecting from among the plurality of features further comprises computing for a feature a product equal to a value assigned to the feature times a number of stimuli influenced by the feature.

8. The method of claim 1, further comprising determining a measure of significance of each class of stimuli on assessing the hearing capability of the subject.

9. The method of claim 8, wherein the measure of significance of the i^th class is equal to

10. The method of claim 1, further comprising determining the number of times to present different stimuli to the subject based upon a computed measure of subject hearing weakness, the measure, s_i, being defined as

11. A computer-implemented method of testing a hearing-impaired patient using a computer system including logic-based processing circuitry, the method comprising:

audibly presenting a first plurality of phonemes to the patient, wherein the first plurality consists of at least one phoneme from each of a plurality of preexisting phoneme sets, each preexisting phoneme set corresponding to a predetermined feature selected for testing a hearing capability of the patient;

based on a response of the patient to each audibly presented phoneme, generating a first assessment of the hearing capability of the patient;

audibly presenting a second plurality of phonemes to the patient and generating a second assessment of the hearing capability of the patient based on patient response, wherein the second plurality of phonemes consists of at least one less phoneme than the first plurality of phonemes, wherein the at least one less phoneme is selected at random; and

adjusting at least one operational parameter of a hearing-enhancement device based at least in part on a hearing performance of the patient with respect to different parameter values.

12. The method of claim 11, wherein the second plurality of phonemes is created by eliminating from the first plurality of phonemes one phoneme from each of the plurality of preexisting phoneme sets that comprise more than one phoneme, and further comprising audibly presenting a third plurality of phonemes, wherein the third plurality of phonemes is created by eliminating from the first plurality of phonemes two phonemes from each of the plurality of preexisting phoneme sets that comprise more than two phonemes, wherein the two phonemes are selected at random.

13. A computer-based system for generating a test set for testing a subject, the system comprising:

at least one processor;

an electronic memory having stored therein electronic data representing a plurality of features for testing a particular capability of the subject;

said at least one processor configured to select at least one feature from among the plurality of features, wherein the at least one feature is selected based upon a measure of the role of the at least one feature in determining the subject'"'"'s hearing ability; and

said at least one processor configured to;

generate one or more classes of stimuli based upon the at least one selected feature;

present at least one stimulus from the one or more classes of stimuli to a subject;

modify at least one of the one or more classes, wherein modifying at least one of the one or more classes comprises randomly removing a stimulus from at least one of the one or more classes to generate one or more modified classes;

present at least one stimulus from the one or more modified classes; and

adjusting at least one operational parameter of a hearing-enhancement device based at least in part on a hearing performance of the patient with respect to different parameter values.

14. The system of claim 13, wherein said at least one processor is further configured to select at least one stimulus associated with a non-selected feature to present to the subject.

15. The system of claim 14, wherein said at least one processor is configured to iteratively select at least one stimulus associated with a non-selected feature.

16. The system of claim 15, wherein said at least one processor is configured to iteratively select at least one stimulus associated with a non-selected feature by, at least in part, selecting one less stimulus from a class comprising more than one stimulus.

17. The system of claim 15, wherein said at least one processor is configured to iteratively select at least one stimulus associated with a non-selected feature by, at least in part, randomly selecting the at least one stimulus.

18. The system of claim 13, wherein the system is configured to initially present each of a predetermined number of stimuli prior to selecting from among the plurality of features associated with each of the predetermined number of stimuli.

19. The system of claim 18, wherein said at least one processor is configured to select from among the plurality of features by computing for a feature a product equal to a value assigned to the feature times a number of stimuli influenced by the feature.

20. The system of claim 13, wherein said at least one processor is further configured to determine a measure of significance of each class of stimuli on assessing the hearing capability of the subject.

21. The system of claim 20, wherein the measure of significance is equal to

22. The system of claim 13, wherein said at least one processor is further configured to determine a number of times to present different stimuli to the subject based upon a computed measure of subject hearing weakness, the measure, s_i, defined as

23. A computer-based system of testing a hearing-impaired patient, the system comprising:

at least one processor;

memory encoding processor-executable instructions perform operations comprising;

creating a first set of phonemes, wherein the first set of phonemes comprises one or more phonemes from a plurality of preexisting phoneme sets, wherein at least one of the preexisting phoneme sets comprises a plurality of phonemes, and wherein at least one of the preexisting phoneme sets corresponds to a predetermined feature selected for testing a hearing capability of the hearing-impaired patient;

creating a second set of phonemes by eliminating at least one phoneme from each of the first set of preexisting phoneme sets;

randomly selecting at least one phoneme from the second plurality of phonemes from each class that comprises more than one phonemes;

audibly presenting a plurality of phonemes from the first set of phonemes and the second set of phonemes to the hearing-impaired patient;

generating an assessment of the hearing capability of the hearing-impaired patient based upon a response of the hearing-impaired patient to the audibly presented plurality of phonemes; and

adjusting at least one operational parameter of a hearing-enhancement device based at least in part on the generated assessment.

24. A non-transitory computer-readable medium having embedded therein computer-executable code that, when executed by at least one processor, perform a method comprising:

selecting at least one feature from among a plurality of features, wherein the at least one feature is selected based upon a measure of the role of the at least one feature in determining a subject'"'"'s hearing ability;

based at least upon the at least one selected feature, generating one or more classes of stimuli;

presenting at least one stimulus from the one or more classes of stimuli to a subject;

modifying at least one of the one or more classes, wherein modifying at least one of the one or more classes comprises randomly removing a stimulus from at least one of the one or more classes to generate one or more modified classes;

presenting at least one stimulus from the one or more modified classes; and

adjusting at least one operational parameter of a hearing-enhancement device based at least in part on a hearing performance of the patient with respect to different parameter values.

25. A computer-implemented method for generating a test set for testing a subject using a computer system comprising logic-based processing circuitry, the method comprising:

selecting one or more features from among a plurality of features, wherein the one or more features are selected based upon a measure of a role of the one or more selected features in determining the subject'"'"'s hearing ability;

based at least upon the one or more selected features, generating at least one class of stimuli;

presenting at least one stimulus from the at least one class of stimuli to a subject;

modifying the at least one class, wherein modifying at the least one class comprises randomly removing a stimulus from the at least one class to generate at least one modified class of stimuli;

presenting at least one stimulus from the at least one modified class; and

adjusting at least one operational parameter of a hearing-enhancement device based at least in part on a hearing performance of the patient with respect to different parameter values.