BRAINAVATAR

• US 20130303934A1
• Filed: 11/05/2012
• Published: 11/14/2013
• Est. Priority Date: 11/03/2011
• Status: Abandoned Application

• Current Assignee: BrainMaster Technologies, Inc.
• Original Assignee: BrainMaster Technologies, Inc.
• Inventors: Collura, Thomas F.
• Application Number:
  US13/669,049
• Publication Number:
  US 20130303934A1
• Time in Patent Office: Days
• US Class Current: 600/545
• CPC Class Codes: A61B 5/375 using biofeedback
• CPC Class Codes: A61B 5/744 Displaying an avatar, e.g. an animated cartoon character

Abstract

The BrainAvatar of the present invention is a combination of hardware, software and data communications devices used to implement and integrate a full featured electroencephalogram (EEG) based neurofeedback training system. The BrainAvatar is a single platform for blending EEG, Live Z-score Training (LZT), MINI-Q, whole head QEEG, mapping and all types of neurofeedback. Patient evaluation, assessment and training can now be done in a single integrated system that supports industry standards.

Claims

1. An EEG-based neurofeedback training system comprising:

a combination of computer hardware and software operative to receive EEG data, perform assessments of said EEG data, create reports based on said EEG data;

render said reports and data on a computer screen or monitor, perform neurofeedback training within a single fully-integrated EEG-based neurofeedback training system.

2. The EEG-based neurofeedback training system of claim 1, wherein the system includes user-programmable tabbed screens in which specific panels can be selected, moved, and configured for specific and changing display needs.

3. The EEG-based neurofeedback training system of claim 1, wherein the system includes 16 frequency bands that are adjustable and user-programmable and implemented in digital filters as well as via spectral analysis software, for assessment or operant training

4. The EEG-based neurofeedback training system of claim 1 further comprising a 24-channel EEG simulator for testing, research and mock feedback, providing the ability to produce specified waveforms of specified frequency, amplitude, and phase relationships, in combination with live or retrospective EEG signals.

5. The EEG-based neurofeedback training system of claim 1, wherein the system is capable of rendering 2-D live topographic maps and displaying same on a computer screen, using raw data or database-referenced live z-scores for amplitude, power, coherence, phase, asymmetry, or related measures, for assessment or operant training

6. The EEG-based neurofeedback training system of claim 1, wherein the system is capable of rendering 3-D live topographic maps and displaying same on a computer screen, reflecting dynamic patterns of brain activation and connectivity in real time, for assessment or operant training

7. The EEG-based neurofeedback training system of claim 1 further comprising instantaneous live sLORETA projector with real-time 3-D imaging, producing live images of brain activation patterns internal to the brain, at high resolution and with instantaneous response, for assessment or operant training

8. An EEG-based biofeedback system comprising:

a computer;

an EEG simulator for testing, research and feedback;

software contained on the computer operative to;

receive and store live EEG data;

use sLORETA or a related algorithm to produce and project live 3-D brain imaging

based on said EEG data onto computer screen.

9. The EEG-based biofeedback system of claim 8, wherein the system is capable of displaying editable and user-programmable live and retrospective EEG and/or peripheral physiological review screens.

10. The EEG-based biofeedback system of claim 8, wherein the system is capable of rendering contoured and 3-D display panels based on EEG data useful for assessment or operant training

11. The EEG-based biofeedback system of claim 8, wherein the system is capable of rendering user-programmable tabbed screens in which specific panels can be selected, moved, and configured for specific and changing display needs.

12. The EEG-based biofeedback system of claim 8, wherein the system is capable of displaying waveforms, graphs, training screens, live text, and whole-head maps, useful for assessement or operant training.

13. The EEG-based biofeedback system of claim 8, wherein each display screen can be modified by a user in real-time to alter its contents, scale, color, arrangement, or other related parameters relevant to assessment or operant training.

14. The EEG-based biofeedback system of claim 8, wherein the system is capable of displaying Live-Q displays accurately and rapidly reflecting the brain'"'"'s dynamic patterns of activation in real time, useful for assessment or operant training.

15. The EEG-based biofeedback system of claim 8 further comprising 16 bands of independently controlled non-linear coupled oscillators, with programmable amplitude, range and variability.

16. The EEG-based biofeedback system of claim 8 further comprising a method for constructing Z-Score targets based upon EEG recordings, thus providing the means for live z-score training with user-determined and user-defined statistical criteria.