System and method for providing and aggregating biosignals and action data

• US 9,867,548 B2
• Filed: 05/28/2013
• Issued: 01/16/2018
• Est. Priority Date: 05/25/2012
• Status: Active Grant

• Current Assignee: EMOTIV Inc.
• Original Assignee: EMOTIV Inc.
• Inventors: Le, Tan, Mackellar, Geoff
• Primary Examiner(s): Dejong, Eric S
• Application Number:
  US13/903,806
• Publication Number:
  US 20130317382A1
• Time in Patent Office: 1,694 Days
• 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 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• 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 20/30 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

A method and system for providing and aggregating bioelectrical signal data comprising: providing a stimulus configured to prompt an action in both a first user and a second user; at a first biosignal detector and a second biosignal detector, automatically collecting a first bioelectrical signal dataset from the first user as the first user performs the action and a second bioelectrical signal dataset from the second user as the second user performs the action; generating a first anonymized bioelectrical signal dataset from the first bioelectrical signal dataset and a second anonymized bioelectrical signal dataset from the second bioelectrical signal dataset; coupling the first and the second anonymized bioelectrical signal datasets with an action tag characterizing the action; and generating an analysis based upon the first the second anonymized bioelectrical signal datasets. 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 providing and aggregating EEG bioelectrical signal data, using a first EEG biosignal neuroheadset and a second EEG biosignal neuroheadset, the method comprising:

establishing a first electrical interface between the first EEG biosignal neuroheadset and a body region of a first user proximal a head region of the first user;

establishing a second electrical interface between the second EEG biosignal neuroheadset and a body region of a second user proximal a head region of the second user;

providing a stimulus to the first user and to the second user, wherein the stimulus is configured to prompt an action in both the first user and the second user;

at a first EEG sensor system of the first EEG biosignal neuroheadset, automatically collecting a first EEG bioelectrical signal dataset from the first user as the first user performs the action;

at a first motion sensor system of the first EEG biosignal neuroheadset, collecting a first motion dataset from the first user as the first user performs the action;

at a second EEG sensor system of the second EEG biosignal neuroheadset, automatically collecting a second EEG bioelectrical signal dataset from the second user as the second user performs the action;

at a second motion sensor system of the second EEG biosignal neuroheadset, collecting a second motion dataset from the second user as the second user performs the action;

generating a first anonymized EEG bioelectrical signal dataset from the first EEG bioelectrical signal dataset and a second anonymized EEG bioelectrical signal dataset from the second EEG bioelectrical signal dataset;

coupling the first and the second anonymized EEG bioelectrical signal datasets with an action tag characterizing the action; and

generating an analysis based upon the first and the second motion datasets and the first and the second anonymized EEG bioelectrical signal datasets, wherein the analysis facilitates elicitation of target brain activity.

2. The method of claim 1, wherein providing a stimulus comprises providing the stimulus at a first mobile device of the first user and providing the stimulus at a second mobile device of the second user.

3. The method of claim 1, wherein providing a stimulus comprises automatically providing the stimulus in synchronization with additional biosignal data collected from at least one of the first user and the second user.

4. The method of claim 1, wherein automatically collecting a first bioelectrical signal dataset from the first user as the first user performs the action and automatically collecting a second bioelectrical signal dataset from the second user as the second user performs the action comprise automatically detecting when the first user and the second user initiate performance of the action, automatically detecting when the first user and the second user terminate performance of the action, and collecting the first and the second bioelectrical signal dataset between initiation and termination of the action for each of the first user and the second user.

5. The method of claim 4, wherein automatically detecting comprises automatically detecting at a sensor system configured to receive at least one of biosignal data and environment data.

6. The method of claim 1, further comprising:

providing a second stimulus configured to prompt a second action in both the first user and the second user;

at the first biosignal detector, automatically collecting a first repeat bioelectrical signal dataset from the first user as the first user performs the second action; and

at the second biosignal detector, automatically collecting a second repeat bioelectrical signal dataset from the second user as the second user performs the second action.

7. The method of claim 6, further comprising generating a comparative analysis based upon at least two of the first bioelectrical signal dataset, the second bioelectrical signal dataset, the first repeat bioelectrical signal dataset, and the second repeat bioelectrical signal dataset.

8. The method of claim 6, wherein the stimulus is identical to the second stimulus.

9. The method of claim 1, wherein generating an analysis comprises generating a comparative analysis characterizing a demographic group comprising the first user and the second user.

10. The method of claim 1, wherein the first EEG sensor system comprises a first plurality of EEG sensors corresponding to a first plurality of channels, wherein the first EEG bioelectrical signal dataset comprises first multi-channel EEG bioelectrical signal data, wherein the second EEG sensor system comprises a second plurality of EEG sensors corresponding to a second plurality of channels, wherein the second EEG bioelectrical signal dataset comprises second multi-channel EEG bioelectrical signal data, and wherein generating the analysis comprises generating the analysis based on the first and the second motion datasets and the first and the second multi-channel EEG bioelectrical signal datasets.

11. The method of claim 10, wherein the first motion sensor system comprises a first accelerometer and a first gyroscope, wherein the first motion dataset comprises first accelerometer data and first gyroscope data, wherein the second motion sensor system comprises a second accelerometer and a second gyroscope, and wherein the second motion dataset comprises second accelerometer data and second gyroscope data, and wherein generating the analysis comprises generating the analysis based upon the first and the second accelerometer data, the first and the second gyroscope data, and the first and the second multi-channel EEG bioelectrical signal datasets.

12. The methd of claim 1, wherein coupling the first and the second anonymized EEG bioelectrical signal datasets with the action tag comprises coupling the first and the second anonymized EEG bioelectrical signal datasets with the action tag based on the first and the second motion datasets.

13. A method for providing and aggregating bioelectrical signal data, using a EEG biosignal neuroheadset, the method comprising:

defining a first action and a second action;

at a first EEG sensor system of the EEG biosignal neuroheadset, automatically collecting a first bioelectrical signal dataset from a first user as the first user performs the first action and automatically collecting a second bioelectrical signal dataset from the first user as the first user performs the second action;

at a motion sensor system of the EEG biosignal neuroheadset, collecting a first motion dataset from the first user as the first user performs the first action and collecting a second motion dataset from the first user as the first user performs the second action;

generating a first anonymized bioelectrical signal dataset from the first bioelectrical signal dataset and a second anonymized bioelectrical signal dataset from the second bioelectrical signal dataset;

coupling the first anonymized bioelectrical signal dataset with a first action tag characterizing the first action and the second anonymized bioelectrical signal dataset with a second action tag characterizing the second action;

generating an analysis based upon the first and the second motion datasets first and the second anonymized bioelectrical signal datasets.

14. The method of claim 13, wherein defining the first action and the second action comprise providing a first stimulus configured to prompt the first action by the user and providing a second stimulus configured to prompt the second action by the user.

15. The method of claim 13, wherein automatically collecting a first bioelectrical signal dataset from a first user as the first user performs the first action comprises automatically detecting when the first user initiates performance of the first action, automatically detecting when the first user terminates performance of the action, and collecting the first bioelectrical signal dataset between initiation and termination of the first action.

16. The method of claim 13, further comprising collecting a baseline bioelectrical signal dataset, and normalizing at least one of the first bioelectrical signal dataset and the second bioelectrical signal dataset using the baseline bioelectrical signal dataset.

17. The method of claim 13, further comprising adjusting an environment of the user based upon the analysis.

18. The method of claim 13, wherein the first action is substantially identical to the second action.

19. The method of claim 13, wherein generating an analysis comprises generating a comparison between the first bioelectrical signal dataset and the second bioelectrical signal dataset based upon signal analysis and data mining.

20. A system for providing and aggregating bioelectrical signal data comprising:

a first EEG biosignal neuroheadset for collecting a first bioelectrical signal dataset and a first motion dataset from the first user as the user performs an action, wherein the first EEG biosignal neuroheadset comprises;

a first EEG sensor system for collecting the first bioelectrical signal dataset; and

a first motion sensor system for collecting the first motion dataset;

a second EEG biosignal neuroheadset for collecting a second bioelectrical signal dataset and a second motion dataset from the second user as the user performs the action, wherein the second EEG biosignal neuroheadset comprises;

a second EEG sensor system for collecting the second bioelectrical signal dataset; and

a second motion sensor system for collecting the second motion dataset

a remote server comprising;

a receiver for receiving the first and the second bioelectrical signal datasets,

an anonymizer for transforming the first bioelectrical signal dataset and the second bioelectrical signal dataset into a first and a second anonymized bioelectrical signal dataset,

a coupler for coupling the first anonymized bioelectrical signal dataset with an action tag characterizing the action, and to couple the second anonymized bioelectrical signal dataset with the action tag, and

an analyzer to for generating an analysis based upon the first and the second motion datasets and the first and the second anonymized bioelectrical signal dataset.

21. The system of claim 20, wherein at least one of the first biosignal detector and the second biosignal detector comprises a sensor system configured to automatically sense an indicator of the action.

22. The system of claim 21, wherein the sensor system comprises at least one of a GPS sensor, an accelerometer, and an optical sensor.

23. The system of claim 20, wherein the first biosignal detector and the second biosignal detector comprise personal electroencephalogram signal collection devices.