Sensory Testing Data Analysis By Categories

• US 20100070453A1
• Filed: 08/03/2009
• Published: 03/18/2010
• Est. Priority Date: 09/26/2007
• Status: Active Grant

• Current Assignee: Nike, Inc.
• Original Assignee: Nike, Inc.
• Inventors: Yoo, Herb, Reichow, Alan W., Fortune, Thomas R. JR.
• Granted Patent: US 8,073,805 B2
• Time in Patent Office: Days
• US Class Current: 706/54
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

This invention is related to systems and methods of analyzing sensory ability data. One embodiment of the present invention includes a method comprising the steps of receiving data from a remote location. The data is comprised of sensory ability data and demographic data associated with a subject. The data may then be stored. Further, the method includes identifying a potential evaluation level associated with the subject. The evaluation level is identified, at least in part, utilizing a sports tree function. The method also includes retrieving peer data associated with the potential evaluation level. Additionally, the method includes determining when the peer data is statistically powerful for use in generating a comparative profile of the sensory ability data associated with the subject. Additional embodiments develop training programs based on one or more training program functions.

Claims

1. A method of analyzing sensory ability data at a central location utilizing a computing device having memory and a processor, the method comprising:

receiving data from a remote location, wherein the data is comprised of sensory ability data and demographic data associated with a subject;

storing the data;

identifying a potential evaluation level associated with the subject, wherein the evaluation level is identified, at least in part, utilizing a sports tree function;

retrieving peer data associated with the potential evaluation level; and

determining when the peer data is statistically powerful for use in generating a comparative profile of the sensory ability data associated with the subject.

2. The method of claim 1 further comprising:

analyzing the sensory ability data associated with the subject to generate a sensory ability assessment; and

generating the sensory ability assessment.

3. The method of claim 2 further comprising:

developing a sensory training program, wherein the sensory training program is based, at least in part on the sensory ability assessment.

4. The method of claim 3, wherein developing the sensory training program comprises:

identifying a percentile rank for each of a plurality of skill tests reported with the sensory ability data, wherein each of the skill tests are classified as either a first class or a second class;

identifying each of the plurality of skill tests in a first percentile range;

identifying each of the plurality of skill tests in a second percentile range;

identifying each of the plurality of skill tests in a third percentile range;

identifying each of the plurality of skill tests in a fourth percentile range; and

selecting a predefined number of skill tests in the following evaluation order until a total number of selected skill tests equals the predefined number, the evaluation order includes;

(1) skill tests classified as the first class and associated with the first percentile range,

(2) skill tests classified as the first class and associated with the second percentile range,

(3) skill tests classified as the second class and associated with the first percentile range,

(4) skill tests classified as the second class and associated with the second percentile range,

(5) skill tests classified as the first class and associated with the third percentile range,

(6) skill tests classified as the second class and associated with the second percentile range,

(7) skill tests classified as the first class and associated with the fourth percentile range, and

(8) skill tests classified as the second class and associated with the fourth percentile range.

5. The method of claim 4 further comprising:

determining the selected skill tests only include skill tests classified as the first class; and

including a skill test classified as the second class.

6. The method of claim 4 further comprising:

determining the selected skill tests only include skill tests classified as the first class; and

substituting a skill test classified as the second class for a selected skill test classified as the first class.

7. The method of claim 1, wherein the peer data is statistically powerful when the peer data includes a predefined number of data points for use in generating the assessment of the sensory ability data associated with the subject.

8. The method of claim 1 further comprising:

determining the peer data is not statistically powerful for use in generating a comparative profile of the sensory ability data associated with the subject;

identifying a broader evaluation level associated with the subject, wherein the broader evaluation level is identified, at least in part, utilizing the sports tree function;

retrieving peer data associated with the broader evaluation level; and

determining the peer data associated with the broader evaluation level is statistically powerful for use in generating a comparative profile of the sensory ability data associated with the subject.

9. The method of claim 1 wherein the data is further comprised of remote information.

10. One or more computer-readable media having computer-executable instructions embodied thereon for performing a method for analyzing sensory ability data of a subject, the method comprising:

identifying a first evaluation level associated with the subject, wherein the evaluation level is identified, at least in part, utilizing a sports tree function, wherein the sports tree function is comprised of a hierarchical structure that represents potential evaluation levels based on one or more traits of the subject;

retrieving peer data associated with the first evaluation level;

determining the peer data associated with the first evaluation level is not statistically powerful for use in generating a comparative profile of the sensory ability data associated with the subject;

identifying a second evaluation level utilizing the sports tree function, wherein the second evaluation level is higher on the hierarchical structure of the sports tree function;

retrieving peer data associated with the second evaluation level;

determining the peer data associated with the second evaluation level is statistically powerful for use in generating a comparative profile of the sensory ability data associated with the subject;

analyzing sensory data associated with the subject to generate a sensory ability assessment; and

generating the sensory ability assessment.

11. The media of claim 10, wherein the hierarchical structure of the sports tree function is comprised of the following levels:

a sport class, a sport, a competition level, a position class, and a position.

12. The media of claim 10, wherein the peer data associated with the second evaluation level comprises personal traits that are broader in scope than personal traits of the peer data associated with the first evaluation level.

13. The media of claim 10 further comprising:

developing a sensory training program, wherein the sensory training program is based, at least in part on the sensory ability assessment.

14. The media of claim 13 further comprising:

storing the sensory ability assessment in association with the subject;

storing the sensory training program in association with the subject;

presenting the sensory ability assessment; and

presenting the sensory training program.

15. The media of claim 10, wherein determining the peer data associated with the first evaluation level is not statistically powerful for use in generating a comparative profile of the sensory ability data associated with the subject is done automatically.

16. The media of claim 10, wherein retrieving peer data is comprised of:

accessing a data store that includes data associated with a plurality of subjects;

identifying one or more of the plurality of subjects associated with a particular evaluation level; and

retrieving data associated with the one or more of the plurality of subjects associated with the particular evaluation level.

17. A method for analyzing sensory ability data of a subject, the method comprising:

receiving demographic data of the subject;

storing the demographic data;

receiving sensory data of the subject, the sensory data is collected at a remote location, wherein the sensory data is comprised of one or more sensory evaluation metrics;

storing the sensory data in association with the demographic data;

receiving remote information, wherein the remote information includes information related to the collection of the sensory data;

storing the remote information in association with the sensory data;

identifying an evaluation level that includes statistically powerful peer data, wherein the peer data is comprised of sensory data from a plurality of other subjects;

analyzing the one or more sensory evaluation metrics of the subject'"'"'s sensory data in relation to the peer data to generate a comparative profile of the subject'"'"'s sensory ability;

generating the assessment of the subject'"'"'s sensory ability;

storing the assessment in association with the demographic data;

communicating the assessment to the remote location;

developing a sensory training program for the subject utilizing a training program function;

storing the training program in association with the demographic data; and

communicating the sensory training program to the remote location.

18. The method of claim 17, wherein the training program function is comprised of:

classifying each of the sensory evaluation metrics of the subject'"'"'s sensory ability data as either a first class or a second class, wherein the sensory evaluation metrics represent a quantitative assessment of a sensory ability;

identifying a percentile rank for each of the sensory evaluation metrics relative to the peer data; and

selecting a predefined number of the sensory evaluation metrics, wherein the sensory evaluation metrics are selected in the following order until the predefined number of sensory evaluation metrics have been selected;

1) select sensory evaluation metrics that are classified as the first class and have an identified percentile rank in a range from 1% to 24%,

2) select sensory evaluation metrics that are classified as the first class and have an identified percentile rank in a range from 25% to 49%,

3) select sensory evaluation metrics that are classified as the second class and have an identified percentile rank in the range from 1% to 24%,

4) select sensory evaluation metrics that are classified as the second class and have an identified percentile rank in a range from 25% to 49%,

5) select sensory evaluation metrics that are classified as the first class and have an identified percentile rank in a range from 50% to 74%,

6) select sensory evaluation metrics that are classified as the second class and have an identified percentile rank in a range from 50% to 74%,

7) select sensory evaluation metrics that are classified as the first class and have an identified percentile rank in a range from 75% to 99%, and

8) select sensory evaluation metrics that are classified as the second class and have an identified percentile rank in a range from 75% to 99%.

19. The method of claim 18, wherein the training program function is further comprised of:

identifying the selected sensory evaluation metrics are all classified as the first class; and

substituting one of the selected sensory evaluation metrics with a sensory evaluation metric classified as the second class.

20. The method of claim 17, wherein the demographic data includes one or more traits of the subject, and wherein the remote information includes one or more identifying characteristics of the remote location.