Systems and methods for monitoring and evaluating individual performance

• US 7,621,871 B2
• Filed: 06/16/2006
• Issued: 11/24/2009
• Est. Priority Date: 06/16/2006
• Status: Expired due to Fees

• Current Assignee: Archinoetics LLC
• Original Assignee: Archinoetics LLC
• Inventors: Akagi, Jason, Stautzenberger, J Patrick, O'Donnell, Brendan F. P., Nishimura, Erin, Downs, Traci H., Downs, J. Hunter III, Rapoport, Evan D., Cirit, Fahrettin Olcay
• Primary Examiner(s): Nasser; Robert L
• Application Number:
  US11/424,742
• Publication Number:
  US 20070293731A1
• Time in Patent Office: 1,257 Days
• Field of Search: None
• US Class Current: 600/300
• 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 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period
• CPC Class Codes: G16H 40/63 for local operation
• 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
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Systems, devices and methods for monitoring and evaluating cognitive effectiveness are provided. In one exemplary embodiment, a system for monitoring cognitive effectiveness can include a central network communicatively coupled with a local computing device, which can in turn be communicatively coupled with a portable monitoring device. The portable monitoring device can be located in proximity with a subject and configured to collect data from the subject usable in determining a cognitive effectiveness level. Adaptive methods for determining cognitive performance are also provided.

Claims

1. A method of monitoring individual performance, comprising:

measuring an objective data parameter corresponding to a first aspect of a subject;

collecting a subjective data parameter corresponding to a second aspect of the subject by way of a user interface; and

determining a cognitive effectiveness level of the subject based at least on the objective and subjective data parameters;

wherein the subjective data parameter is a data parameter representative of a subject'"'"'s manual indication of a subjective mental state, the subjective mental state including a wake state.

2. The method of claim 1, wherein the determined cognitive effectiveness level is one of a past, current or future cognitive effectiveness level.

3. The method of claim 1, wherein determining a cognitive effectiveness level comprises determining a cognitive effectiveness level with a cognitive effectiveness determination algorithm.

4. The method of claim 1, wherein the objective data parameter is representative of the subject'"'"'s motion.

5. The method of claim 4, wherein the objective data parameter is an actigraph data parameter.

6. The method of claim 1, wherein the objective data parameter is a parameter representative of a blood oxygen level.

7. The method of claim 6, wherein the objective data parameter is a near infrared spectroscopy signal parameter.

8. The method of claim 1, wherein the subjective mental state is the subject'"'"'s own mental state.

9. The method of claim 1, wherein the subjective data parameter is a response to a test.

10. The method of claim 1, wherein determining a cognitive effectiveness level of the subject based at least on the objective and subjective data parameters further comprises:

determining the cognitive effectiveness level of the subject based on at least on the objective data parameter; and

adjusting the determined cognitive effectiveness level based upon the subjective data parameter.

11. The method of claim 10, wherein the subjective data parameter corresponds to a wake state and adjusting the determined cognitive effectiveness level based upon the subjective data parameter comprises:

adjusting the boundary of a wake state based upon the subjective data parameter; and

determining a new cognitive effectiveness level.

12. The method of claim 1, wherein determining the cognitive effectiveness level of the subject based at least on the objective and subjective data parameters comprises inputting the objective and subjective data parameters into a cognitive effectiveness determination algorithm.

13. The method of claim 1, further comprising:

collecting an individual characteristic data parameter corresponding to a third aspect of the subject; and

determining the cognitive effectiveness level of the subject based at least on the objective, subjective and individual characteristic data parameters.

14. The method of claim 13, wherein the individual characteristic data parameter is a gender of the subject.

15. A method of monitoring individual performance, comprising:

measuring an objective data parameter corresponding to a first aspect of a subject;

collecting a subjective data parameter corresponding to a second aspect of the subject by way of a user interface;

determining a cognitive effectiveness level of the subject based at least on the objective and subjective data parameters;

collecting an individual characteristic data parameter corresponding to a third aspect of the subject; and

determining the cognitive effectiveness level of the subject based at least on the objective, subjective and individual characteristic data parameters wherein the individual characteristic data parameter is a racial origin of the subject.

16. A method of monitoring individual performance, comprising:

measuring an objective data parameter corresponding to a first aspect of a subject;

collecting a subjective data parameter corresponding to a second aspect of the subject by way of a user interface; and

determining a cognitive effectiveness level of the subject based at least on the objective and subjective data parameters;

collecting an individual characteristic data parameter corresponding to a third aspect of the subject; and

determining the cognitive effectiveness level of the subject based at least on the objective, subjective and individual characteristic data parameters;

wherein the individual characteristic data parameter is a genetic characteristic of the subject.

17. A method of monitoring individual performance, comprising:

measuring an objective data parameter corresponding to a first aspect of a subject;

collecting a subjective data parameter corresponding to a second aspect of the subject by way of a user interface;

determining a cognitive effectiveness level of the subject based at least on the objective and subjective data parameters;

determining the cognitive effectiveness level with a cognitive effectiveness determination algorithm; and

adapting the cognitive effectiveness determination algorithm to the subject.

18. The method of claim 17, wherein adapting the cognitive effectiveness determination algorithm comprises altering a population-level based cognitive effectiveness determination algorithm into a subject-based cognitive effectiveness determination algorithm.

19. A method for us in monitoring individual performance using an algorithm for determining cognitive effectiveness, comprising:

measuring at least one objective data parameter corresponding to at least a first aspect of a subject;

collecting at least one subjective data parameter corresponding to at least a second aspect of the subject by way of at least one user interface; and

adapting the algorithm for the subject based on at least on the objective data parameter and the at least one subjective data parameter for the subject.

20. The method of claim 19 further comprising:

collecting at least one individual characteristic data parameter corresponding to at least a third aspect of the subject; and

wherein the adapting further includes adapting the algorithm for the subject based on at least on the objective data parameter, the at least one subjective data parameter, and the at least one individual characteristic data parameter for the subject.