System and method for biofeedback administration

• US 20080082020A1
• Filed: 08/30/2006
• Published: 04/03/2008
• Est. Priority Date: 08/30/2006
• Status: Abandoned Application

• Current Assignee: Thomas F. Collura
• Original Assignee: Thomas F. Collura
• Inventors: Collura, Thomas F.
• Application Number:
  US11/512,949
• Publication Number:
  US 20080082020A1
• Time in Patent Office: Days
• US Class Current: 600/545
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/375 using biofeedback
• CPC Class Codes: A61B 5/377 using evoked responses

Abstract

Various embodiments of a biofeedback system, programs and methods are provided. In one example embodiment, a biofeedback system for administration of electroencephalographic (EEG) neurofeedback training includes a plurality of electrodes sensors for placement on the head of a trainee and a switching head box comprising a plurality of contacts each of which connects to one electrode sensor. The system also includes an interface device which includes at least two EEG signal amplifiers and connects to the switching head box, and a computer comprising software for generating user-control functions which corresponds in real-time to EEG signals received by the interface device and processed by the computer. The switching head box includes a switch with at least two conductors and connects the electrode sensors to the interface device for transmitting EEG signals from the trainee to the computer.

Claims

1. A biofeedback system for administration of electroencephalographic (EEG) neurofeedback training, the system comprising:

a plurality of electrodes sensors for placement on the head of a trainee;

a switching head box comprising a plurality of contacts located at a plurality of contact positions, each of the plurality of contacts being connected to one of the plurality of electrode sensors;

an interface device connected to the switching head box, the interface device comprising at least two EEG signal amplifiers;

a computer comprising software for generating user-control functions which corresponds in real-time to EEG signals received by the interface device and processed by the computer; and

wherein the switching head box comprises a switch comprising a first conductor at a first position which connects a first electrode sensor to a first EEG signal amplifier of the interface device, and a second conductor at a second position which connects a second electrode sensor to a second EEG signal amplifier, for transmitting EEG signals from the trainee to the computer.

2. The biofeedback system of claim 1, wherein the first conductor at a first position of the switch connects only one of the plurality of electrode sensors to the first EEG signal amplifiers, and the second conductor at a second position of the switch connects only one of the plurality of electrode sensors to the second EEG signal amplifier.

3. The biofeedback system of claim 2, wherein the biofeedback system comprises up to 12 electrodes and the switch is movable to up to six contact positions.

4. The biofeedback system of claim 2, wherein the biofeedback system comprises up to 20 electrodes and the switch is movable to up to five contact positions.

5. The biofeedback system of claim 1, wherein the first conductor of the switch connects at least two of the plurality of electrode sensors in parallel to the first EEG signal amplifier, and the second conductor at the second position of the switch connects at least two of the plurality of electrode sensors in parallel to the second EEG signal amplifier.

6. The biofeedback system of claim 1, wherein the number of electrode sensors ranges from 2 to 256.

7. The biofeedback system of claim 1, wherein the number for electrode sensors ranges from 2 to 20.

8. The biofeedback system of claim 1, wherein the number for electrode sensors ranges from 2 to 12.

9. The biofeedback system of claim 1, wherein the switch of the switching head box comprises from up to 10 conductors which connect the plurality of electrode sensors to the interface device.

10. The biofeedback system of claim 1, wherein the interface device comprises from up to 10 EEG signal amplifiers.

11. The biofeedback system of claim 1, wherein the switch further comprises a third conductor which connects a third electrode sensor to a third EEG signal amplifier of the interface device, and a fourth conductor which connects a fourth electrode sensor to a fourth EEG signal amplifier, for transmitting EEG data from the trainee to the computer.

12. The biofeedback system of claim 5, wherein the switching head box further comprises a third conductor which connects at least one electrode sensor to a third EEG signal amplifier of the interface device, and a fourth conductor which connects at least one electrode sensor to a fourth EEG signal amplifier, for transmitting EEG data from the trainee to the computer.

13. A switching head box for use in a system to administer biofeedback training, comprising:

a plurality of electrical contacts at a plurality of contact positions for connection to electrodes sensors on the head of a trainee undergoing biofeedback training;

at least two channel ports (or data lines?);

a switch comprising at least two conductors movable to the plurality of electrical contacts at the plurality of contact positions to connect the electrical contacts to the at least two channel ports (data lines).

14. The switching head box of claim 13, wherein the switching head box comprises from 2 to 256 contacts at located at distinct positions.

15. The switching head box of claim 13, wherein each of the at least two conductors contacts only one electrical contact of the plurality of electrical contacts to connect the one electrical contact to one of the at least two channel ports, when the conductors are moved to each contact position of the plurality of contact positions.

16. The switching head box of claim 13, wherein each of the at least two conductors contacts at least two electrical contacts of the plurality of electrical contacts to connect the at least two electrical contacts to one of the at least two channel ports, when the conductors are moved to each contact position of the plurality of contact positions.

17. A program embodied in a computer readable medium, comprising:

logic that simultaneously identifies at least two independent EEG brainwave signals received by at least two electrical sensors placed on a head of a trainee undergoing biofeedback training;

logic that executes processing of the EEG brainwave signals and records EEG brainwave data derived from the EEG brainwave signals; and

logic that detects a predetermined time setting for processing the EEG brainwave signals and executes a prompt, at the conclusion of the predetermined time setting, to advance a switch if additional electrical sensors are to be processed.

18. The program embodied in a computer readable medium of 17, wherein the program further comprises logic to process a response and to execute processing and recording of EEG brainwave signals of the additional electrical sensors if a response the prompt indicates additional electrical sensors are to be read.

19. The program embodied in a computer readable medium of 17, wherein the program further comprises logic to process a response to the prompt and to execute calculations using the EEG brainwave data if the response to the prompt indicates no additional electrical sensors.

20. The program embodied in a computer readable medium of 17, wherein the program further comprises EEG data files and the program further comprises logic to sort the recorded EEG brainwave data to the appropriate EEG data files.

21. The program embodied in a computer readable medium of 17, wherein the program further comprises logic to execute a prompt to process and display graphic images of the EEG brainwave data.

22. The program embodied in a computer readable medium of 19, wherein the program further comprises logic to execute a prompt, after a response is made which indicates there are no additional electrical sensors, to process and display graphic images of the EEG brainwave data.