System and Method for Instructing a Behavior Change in a User

• US 20130317384A1
• Filed: 05/28/2013
• Published: 11/28/2013
• Est. Priority Date: 05/25/2012
• Status: Active Grant

• Current Assignee: EMOTIV Inc.
• Original Assignee: Emotiv Lifesciences, Inc.
• Inventors: Le, Tan
• Granted Patent: US 9,763,592 B2
• Time in Patent Office: Days
• US Class Current: 600/545
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/375 using biofeedback
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/7285 for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method and system for instructing a user behavior change comprising: collecting a first and a second bioelectrical signal dataset; generating an analysis based upon the first and the second bioelectrical signal datasets; and providing a behavior change suggestion to the user based upon the analysis. The method can further comprise collecting a third bioelectrical signal dataset associated with a performance of an action by the user in response to the behavior change suggestion; generating an adherence metric based upon the third bioelectrical signal dataset and at least one of the first and the second bioelectrical signal datasets; providing a stimulus configured to prompt an action by the user; and providing at least one of the analysis and an analysis based upon the adherence metric to the user. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

Claims

1. A method for instructing a behavior change in a user, using a biosignal detector, the method comprising:

collecting a first bioelectrical signal dataset associated with an action relevant to the behavior change;

at the biosignal detector, collecting a second bioelectrical signal dataset, identified with the user and associated with the action;

generating an analysis based upon the first bioelectrical signal dataset and the second bioelectrical signal dataset;

automatically providing a behavior change suggestion to the user based upon the analysis; and

at the biosignal detector, automatically collecting a third bioelectrical signal dataset, associated with a repeat performance of the action by the user in response to the behavior change suggestion.

2. The method of claim 1, further comprising generating an adherence metric based upon the third bioelectrical signal dataset and at least one of the first and the second bioelectrical signal datasets, and providing the adherence metric to the user.

3. The method of claim 1, wherein collecting the first bioelectrical signal dataset comprises collecting the first bioelectrical signal dataset from the user at the biosignal detector.

4. The method of claim 1, wherein collecting the first bioelectrical signal dataset comprises collecting bioelectrical signal data from a second user.

5. The method of claim 4, wherein generating an analysis comprises generating a mental state recipe configured to bring the user to a specific mental state, and wherein automatically providing a behavior change suggestion comprises providing the mental state recipe to the user.

6. The method of claim 1, wherein automatically providing the behavior change suggestion comprises automatically adjusting an aspect of the user'"'"'s environment.

7. The method of claim 1, wherein automatically providing the behavior change suggestion comprises providing the behavior change suggestion at a mobile device of the user.

8. The method of claim 1, further comprising providing a stimulus configured to prompt the action associated with at least one of the second and the third bioelectrical signal datasets.

9. The method of claim 8, wherein providing a stimulus comprises providing at least one of a haptic stimulus, a visual stimulus, and an auditory stimulus upon detection of a user event, as detected within at least one of biometric data and environmental data from the user.

10. The method of claim 8, further comprising providing feedback to the user, based upon an analysis of evoked potentials characterized by at least one of the second and the third bioelectrical signal datasets associated with the stimulus and the action.

11. A method for instructing a behavior change in a user, using a biosignal detector, the method comprising:

at the biosignal detector, collecting a first bioelectrical signal dataset identified with the user and associated with a first action;

at the biosignal detector, collecting a second bioelectrical signal dataset identified with the user and associated with a second action;

generating an analysis based upon the first bioelectrical signal dataset and the second bioelectrical signal dataset;

automatically providing a behavior change suggestion to the user based upon the analysis; and

at the biosignal detector, automatically collecting a third bioelectrical signal dataset, associated with a repeat performance of the second action by the user in response to the behavior change suggestion.

12. The method of claim 11, wherein collecting comprises automatically initiating and automatically terminating collection of a bioelectrical signal dataset from the user upon detection of an action performed by the user.

13. The method of claim 11, wherein the first action and the second action are different actions, and wherein generating an analysis comprises measuring at least one of a signal trend divergence and a signal trend convergence within the first and the second bioelectrical signal datasets.

14. The method of claim 11, wherein generating an analysis comprises generating an analysis based upon at least one of a global analysis and a local analysis of electroencephalogram signals collected from different brain regions of the user.

15. The method of claim 11, further comprising providing a stimulus configured to prompt at least one of the first action and the second action.

16. A method for instructing a behavior change in a user, using a biosignal detector, the method comprising:

automatically providing a stimulus configured to prompt an action by the user at a first time point;

at the biosignal detector, collecting a first bioelectrical signal dataset associated with the action;

generating an analysis of the first bioelectrical signal dataset;

automatically providing a behavior change suggestion to the user based upon the analysis;

automatically providing the stimulus to the user at a second time point; and

collecting a second bioelectrical signal dataset, associated with a repeat performance of the action by the user, in response to the stimulus and the behavior change suggestion.

17. The method of claim 16, further comprising generating an adherence metric based upon the first and the second bioelectrical signal datasets;

and providing an analysis based upon the adherence metric to the user.

18. The method of claim 16, wherein providing the stimulus comprises providing the stimulus at a first mobile device of the user.

19. The method of claim 18, wherein providing the stimulus comprises providing at least one of a haptic stimulus, a visual stimulus, and an auditory stimulus.

20. The method of claim 16, wherein generating an analysis comprises comparing the first and the second bioelectrical signal datasets to determine a divergence in response to the stimulus.