NEURO-INFORMATICS REPOSITORY SYSTEM

• US 20090030930A1
• Filed: 05/01/2008
• Published: 01/29/2009
• Est. Priority Date: 05/01/2007
• Status: Active Grant

• Current Assignee: Nielsen Consumer LLC (Nielsen Holdings plc)
• Original Assignee: NeuroFocus Inc. (Nielsen Holdings plc)
• Inventors: Pradeep, Anantha, Knight, Robert T., Gurumoorthy, Ramachandran
• Granted Patent: US 8,386,312 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: A61B 5/333 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/375 using biofeedback
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A neuro-informatics repository system is provided to allow efficient generation, management, and access to central nervous system, autonomic nervous system, effector data, and behavioral data obtained from subjects exposed to stimulus material. Data collected using multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), Event Related Potential (ERP), surveys, etc., is stored using a variety of data models to allow efficient querying, report generation, analysis and/or visualization.

Claims

1. A method, comprising:

receiving response data from a plurality of subjects exposed to stimulus material, the response data collected using a plurality of modalities, wherein the response data includes central nervous system, autonomic nervous system, and effector data;

storing the stimulus material and response data using a plurality of data models including a subject attribute data model;

receiving a query for the response data;

performing analysis of the response data to determine the effectiveness of the stimulus material.

2. The method of claim 1, wherein the query requests the response data and the stimulus material.

3. The method of claim 1, wherein the query requests the response data and information in the subject attribute data model.

4. The method of claim 1, wherein the plurality of data models include a neuro-feedback association data model and a data collection data model.

5. The method of claim 4, wherein the plurality of data models further include a preset query data model and a dataset data model.

6. The method of claim 1, wherein the data stored includes stimulus data, analysis responses, and subject and experiment information.

7. The method of claim 1, wherein performing analysis of the response data comprises performing intra-modality synthesis and cross-modality synthesis.

8. The method of claim 1, wherein the query is a subject attribute query.

9. The method of claim 1, wherein the query is a response assessment query.

10. The method of claim 1, wherein the response data and/or raw data is provided to a report generator.

11. The method of claim 10, wherein a client assessment summary report is generated using the response data.

12. The method of claim 10, wherein a client cumulative report is generated using the response data.

13. The method of claim 10, wherein a response assessment report is generated using the response data.

14. The method of claim 1, wherein the response data and/or raw data is provided to a visualization tool.

15. The method of claim 14, wherein the visualizations from the visualization tool are provided to a report generator.

16. The method of claim 1, wherein the effectiveness of the stimulus material is determined neurological and neurophysiological measurements including attention, emotion, and memory retention.

17. The method of claim 1, wherein cross-modality synthesis comprises aligning and combining response data from a first modality with response data from a second modality.

18. The method of claim 1, wherein aligning response data from a first data with response data from a second modality comprises time and phase shifting.

19. The method of claim 1, wherein the plurality of modalities include Electroencephalography (EEG), Electrooculography (EOG), and Galvanic Skin Response (GSR).

20. A system, comprising:

an interface operable to receive response data from a plurality of subjects exposed to stimulus material, the response data collected using a plurality of modalities, wherein the response data includes central nervous system, autonomic nervous system, and effector data, wherein the interface is further operable to receive a query for the response data;

storage operable to hold the stimulus material and response data using a plurality of data models including a subject attribute data model;

a processor operable to perform analysis of the response data to determine the effectiveness of the stimulus material.

21. The system of claim 20, wherein the query requests the response data and the stimulus material.

22. The system of claim 20, wherein the query requests the response data and information in the subject attribute data model.

23. The system of claim 20, wherein the plurality of data models include a neuro-feedback association data model and a data collection data model.

24. An apparatus, comprising:

means for receiving response data from a plurality of subjects exposed to stimulus material, the response data collected using a plurality of modalities, wherein the response data includes central nervous system, autonomic nervous system, and effector data;

means for storing the stimulus material and response data using a plurality of data models including a subject attribute data model;

means for receiving a query for the response data;

means for performing analysis of the response data to determine the effectiveness of the stimulus material.