Computational user-health testing

• US 20080287821A1
• Filed: 05/07/2008
• Published: 11/20/2008
• Est. Priority Date: 03/30/2007
• Status: Abandoned Application

• Current Assignee: Gearbox LLC (Intellectual Ventures LLC)
• Original Assignee: Searete LLC (Intellectual Ventures LLC)
• Inventors: Lord, Robert W., Jung, Edward K.Y., Levien, Royce A., Malamud, Mark A., Leuthardt, Eric C.
• Application Number:
  US12/151,742
• Publication Number:
  US 20080287821A1
• Time in Patent Office: Days
• US Class Current: 600/544
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Methods, apparatuses, computer program products, devices and systems are described that carry out accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application; accepting brain activity measurement data proximate to the interaction; associating the at least one user-health test function output with the brain activity measurement data; and presenting the at least one user-health test function output and the brain activity measurement data at least partly based on the associating the at least one user-health test function output with the brain activity measurement data.

Claims

1. A method comprising:

accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application;

accepting brain activity measurement data proximate to the interaction;

associating the at least one user-health test function output with the brain activity measurement data; and

presenting the at least one user-health test function output and the brain activity measurement data at least partly based on the associating the at least one user-health test function output with the brain activity measurement data.

2. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one personal computing device output as the at least one user-health test function output.

3. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one alertness or attention test function output at least partly based on an interaction between at least one user and at least one device-operable application.

4. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one memory test function output at least partly based on an interaction between at least one user and at least one device-operable application.

5. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one speech test function output at least partly based on an interaction between at least one user and at least one device-operable application.

6. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one calculation test function output at least partly based on an interaction between at least one user and at least one device-operable application.

7. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one neglect or construction test function output at least partly based on an interaction between at least one user and at least one device-operable application.

8. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one task sequencing test function output at least partly based on an interaction between at least one user and at least one device-operable application.

9. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one visual field test function output at least partly based on an interaction between at least one user and at least one device-operable application.

10. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one pupillary reflex test function output at least partly based on an interaction between at least one user and at least one device-operable application.

11. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one face pattern test function output at least partly based on an interaction between at least one user and at least one device-operable application.

12. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one hearing test function output at least partly based on an interaction between at least one user and at least one device-operable application.

13. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one voice test function output at least partly based on an interaction between at least one user and at least one device-operable application.

14. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one motor skill test function output at least partly based on an interaction between at least one user and at least one device-operable application.

15. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one body movement test function output at least partly based on an interaction between at least one user and at least one device-operable application.

16. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable game.

17. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable communication application.

18. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable security application.

19. The method of claim 1 wherein the accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application comprises:

accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable productivity application.

20. The method of claim 1 wherein the accepting brain activity measurement data proximate to the interaction comprises:

accepting electrical brain activity measurement data proximate to the interaction.

21. The method of claim 1 wherein the accepting brain activity measurement data proximate to the interaction comprises:

accepting brain blood oxygen level data proximate to the interaction.

22. The method of claim 1 wherein the accepting brain activity measurement data proximate to the interaction comprises:

accepting brain glucose metabolism or brain blood flow data proximate to the interaction.

23. The method of claim 1 wherein the accepting brain activity measurement data proximate to the interaction comprises:

accepting ventromedial prefrontal cortex data proximate to the interaction.

24. The method of claim 1 wherein the accepting brain activity measurement data proximate to the interaction comprises:

accepting at least one of frontopolar cortex data, prefrontal cortex data, ventral striatum data, orbitofrontal prefrontal cortex data, amygdala data, or nucleus accumbens data proximate to the interaction.

25. The method of claim 1 wherein the accepting brain activity measurement data proximate to the interaction comprises:

accepting at least one of dorsolateral prefrontal cortex data, posterior parietal cortex data, occipital cortex data, or left premotor area data proximate to the interaction.

26. The method of claim 1 wherein the accepting brain activity measurement data proximate to the interaction comprises:

accepting at least one of inferior precuneus data, posterior cingulate data, right parietal cortex data, right superior frontal gyrus data, or right supramarginal gyrus data proximate to the interaction.

27. The method of claim 1 wherein the accepting brain activity measurement data proximate to the interaction comprises:

accepting at least one of insula data, lateral orbital frontal cortex data, or amygdala data proximate to the interaction.

28. The method of claim 1 wherein the associating the at least one user-health test function output with the brain activity measurement data comprises:

associating at least one attention test function output and at least one of prefrontal activity measurement data or parietal activity measurement data.

29. The method of claim 1 wherein the associating the at least one user-health test function output with the brain activity measurement data comprises:

associating at least one face pattern test function output and nucleus accumbens activation data.

30. The method of claim 1 wherein the associating the at least one user-health test function output with the brain activity measurement data comprises:

associating at least one body movement test function output and motor cortex data.

31. The method of claim 1 wherein the presenting the at least one user-health test function output and the brain activity measurement data at least partly based on the associating the at least one user-health test function output with the brain activity measurement data comprises:

presenting at least one attention test function output and at least one of prefrontal activity measurement data or parietal activity measurement data at least partly based on associating the at least one attention test function output with the at least one of prefrontal activity measurement data or parietal activity measurement data.

32. The method of claim 1 wherein the presenting the at least one user-health test function output and the brain activity measurement data at least partly based on the associating the at least one user-health test function output with the brain activity measurement data comprises:

presenting at least one face pattern test function output and fusiform face area data at least partly based on associating the at least one face pattern test function output with the fusiform face area data.

33. The method of claim 1 wherein the presenting the at least one user-health test function output and the brain activity measurement data at least partly based on the associating the at least one user-health test function output with the brain activity measurement data comprises:

presenting at least one body movement test function output and motor cortex data at least partly based on associating the at least one body movement test function output with the motor cortex data.

34-66. -66. (canceled)

67. A computer program product comprising:

a signal-bearing medium bearing

(a) one or more instructions for accepting at least one user-health test function output at least partly based on an interaction between at least one user and at least one device-operable application;

(b) one or more instructions for accepting brain activity measurement data proximate to the interaction;

(c) one or more instructions for associating the at least one user-health test function output with the brain activity measurement data; and

(d) one or more instructions for presenting the at least one user-health test function output and the brain activity measurement data at least partly based on the associating the at least one user-health test function output with the brain activity measurement data.

68. The computer program product of claim 67, wherein the signal-bearing medium includes a computer-readable medium.

69. The computer program product of claim 67, wherein the signal-bearing medium includes a recordable medium.

70. The computer program product of claim 67, wherein the signal-bearing medium includes a communications medium.

71. A system comprising:

a computing device; and

instructions that when executed on the computing device cause the computing device to

(a) accept at least one user-health test function output at least one partly based on an interaction between at least one user and at least one device-operable application;

(b) accept brain activity measurement data proximate to the interaction;

(c) associate the at least one user-health test function output with the brain activity measurement data; and

(d) present the at least one user-health test function output and the brain activity measurement data at least partly based on the associating the at least one user-health test function output with the brain activity measurement data.

72. The system of claim 71 wherein the computing device comprises:

one or more of a personal digital assistant (PDA), a personal entertainment device, a mobile phone, a laptop computer, a tablet personal computer, a networked computer, a computing system comprised of a cluster of processors, a computing system comprised of a cluster of servers, a workstation computer, and/or a desktop computer.

73. The system of claim 71 wherein the computing device is operable to associate the at least one user-health test function output with the brain activity measurement data and present the user-health test function output and the brain activity measurement data at least partly based on data from at least one memory.