ALZHEIMER'S COGNITIVE ENABLER

• US 20100076334A1
• Filed: 09/19/2008
• Published: 03/25/2010
• Est. Priority Date: 09/19/2008
• Status: Abandoned Application

• Current Assignee: Utasia Incorporated (United Therapeutics Corporation)
• Original Assignee: Unither Neurosciences, Inc.
• Inventors: Rothblatt, Martine
• Application Number:
  US12/233,817
• Publication Number:
  US 20100076334A1
• Time in Patent Office: Days
• US Class Current: 600/544
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4088 Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
• CPC Class Codes: G06F 1/163 Wearable computers, e.g. on a belt
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training

Abstract

A computing device that enables user interaction when the user is in a mentally debilitating state includes a memory configured to store electroencephalogram (EEG) waveform signals. The EEG waveform signals are generated by associated recognition data. Response data is generated based on the associated recognition data and stored in memory. An input component is configured to receive an EEG waveform signal from a user. A processor is configured to compare the received EEG waveform signal with the stored EEG waveform signals to determine if the received EEG waveform signal matches a stored EEG waveform signal. An output component is configured to automatically output the response data generated by the associated recognition data based on the determination from the processor.

Claims

1. A computing device that enables user interaction when the user is in a mentally debilitating state, comprising:

a memory configured to store electroencephalogram (EEG) waveform signals, the EEG waveform signals being generated by associated recognition data,

wherein response data is generated based on the associated recognition data and stored in memory;

an input component configured to receive an EEG waveform signal from a user;

a processor configured to compare the received EEG waveform signal with the stored EEG waveform signals to determine that the received EEG waveform signal matches a stored EEG waveform signal; and

an output component configured to automatically output the response data generated by the associated recognition data based on the determination from the processor.

2. The computing device according to claim 1, wherein the associated recognition data include images data.

3. The computing device according to claim 1, wherein the associated recognition data includes voice data.

4. The computing device according to claim 1, wherein response data includes voice data.

5. A computing system that enables user interaction when the user is in a mentally debilitating state, comprising:

a computing device, comprising;

a memory configured to store electroencephalogram (EEG) waveform signals, the EEG waveform signals being generated by associated recognition data,

wherein response data is generated based on the associated recognition data and stored in memory;

an input component configured to receive an EEG waveform signal from a user;

a processor configured to compare the received EEG waveform signal with the stored EEG waveform signals to determine that the received EEG waveform signal matches a stored EEG waveform signal; and

an output component configured to automatically output the response data generated by the associated recognition data based on the determination from the processor; and

a server computer configured to update EEG waveform signals, associated recognition data and response data stored in the memory of the computing device.

6. The computing system according to claim 5, further comprising a system database.

7. The computing system according to claim 5, wherein the computing device is a wearable computer.

8. The computing system according to claim 5, wherein the updating is performed via wireless transmission.

9. The computing system according to claim 5, wherein the computing device includes a cellular phone.

10. The computing system according to claim 5, wherein the computing device includes a personal computer.

11. The computing system according to claim 5, wherein the associated recognition data include images data.

12. The computing system according to claim 5, wherein the associated recognition data includes voice data.

13. The computing system according to claim 5, wherein response data includes voice data.

14. The computing system according to claim 6, wherein the system database includes a viseme database.

15. The computing system according to claim 6, wherein the system database includes a conversational database.

16. The computing system according to claim 6, wherein the system database includes an autographical database.

17. A method for enabling user interaction when the user is in a mentally debilitating state, comprising:

storing electroencephalogram (EEG) waveform signals, the EEG waveform signals being generated by associated recognition data, storing response data generated based on the associated recognition data;

receiving an EEG waveform signal from a user;

comparing the received EEG waveform signal with the stored EEG waveform signals;

determining that the received EEG waveform signal matches a stored EEG waveform signal; and

automatically outputting the response data generated by the associated recognition data based on the determining step.

18. The method according to claim 17, further comprising updating the stored EEG waveform signals, associated recognition data and response data.

19. The method according to claim 18, wherein the updating is performed via wireless transmission.

20. The method according to claim 17, further comprising creating a conversational database for the response data.

21. The method according to claim 17, further comprising creating an autographical database.

22. The method according to claim 17, wherein the user suffers from Alzheimer'"'"'s disease.