BINAURAL BEAT AUGMENTED BIOFEEDBACK SYSTEM

• US 20110105938A1
• Filed: 11/14/2008
• Published: 05/05/2011
• Est. Priority Date: 11/16/2007
• Status: Active Grant

• Current Assignee: James V. Hardt
• Original Assignee: James V. Hardt
• Inventors: Hardt, James V.
• Granted Patent: US 8,340,753 B2
• Time in Patent Office: Days
• US Class Current: 600/544
• CPC Class Codes: A61B 5/375 using biofeedback
• CPC Class Codes: A61B 5/38 Acoustic or auditory stimuli
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence

Abstract

A biofeedback system that incorporates binaural beat technology to augment the EEG feedback provided to the trainee. Specifically, the system will provide binaural beats at the frequency of the brain'"'"'s naturally occurring peak energy in the EEG band or bands subject to the biofeedback.

Claims

1. A method for training a person to develop useful degrees of voluntary control of personal electroencephalographic (EEG) activity, said method comprising the steps of:

(a) securing EEG leads to the person;

(b) receiving an EEG signal from the person;

(c) transmitting the resultant EEG signal to a filter;

(d) filtering the EEG signal;

(e) monitoring a predetermined EEG frequency band or subband;

(f) determining the EEG frequency value of a preselected aspect of said EEG signal; and

(g) generating a first audio signal at a first frequency that is delivered to said person'"'"'s first ear with minimal delay and generating a second audio signal that is delivered to said person'"'"'s second ear concurrently with said first audio signal, said second audio signal having a second frequency that differs from said first frequency by the value of said EEG frequency value.

2. The method of claim 1 wherein said pre-selected aspect is the frequency at which the peak energy of the EEG signal occurs.

3. The method of claim 1 wherein the frequency of the first audio signal is constant and the volume of first audio signal varies in proportion with the amplitude of said EEG signal.

4. The method of claim 1 wherein said pre-selected aspect is the frequency at which the peak energy of the EEG signal occurs, the frequency of the first audio signal is constant, and the volume of first audio signal varies in proportion with the amplitude of said EEG signal.

5. The method of claim 1 wherein said pre-selected aspect is the frequency at which the greatest average energy of the EEG signal occurs over a pre-selected interval of time.

6. The method of claim 1 wherein said pre-selected aspect is the frequency at which the greatest average energy of the EEG signal occurs over a pre-selected interval of time, the frequency of the first audio signal is constant, and the volume of first audio signal varies in proportion with the amplitude of said EEG signal.

7. The method of claim 1 wherein said pre-selected aspect is the frequency at which the lowest detectable energy of the EEG signal occurs over a pre-selected interval of time.

8. The method of claim 1 wherein said preselected aspect is the frequency at which the lowest detectable energy of the EEG signal occurs over a preselected interval of time, the frequency of the first audio signal is constant, and the volume of first audio signal varies in proportion with the amplitude of said EEG signal.

9. The method according to claim 1 wherein said first audio signal has tone is between about 400 Hz and about 800 Hz as a representative signal for alpha training

10. The method according to claim 1 wherein said first audio signal has a tone above about 800 Hz as an representative signal for theta training.

11. The method of claim 1 wherein said minimal delay is less than 350 ms.

12. An apparatus for training a person to develop useful degrees of voluntary control of personal electroencephalographic (EEG) activity, said apparatus comprising:

(a) a plurality of EEG sensors, said sensors being for placement at a plurality of cortical sites on a head of said person;

(b) amplifiers coupled to said EEG sensors to amplify a plurality of channel signals in a plurality of channels;

(c) a plurality of bandpass filters coupled to said amplifiers having a passband characteristic of a predefined frequency spectra having an abrupt cutoff at a low-frequency skirt, an abrupt cutoff at a high-frequency skirt and near instantaneous propagation for processing in accordance within time constraints limited by natural neurological reactivity to obtain a resultant signal for each said channel;

(d) a computing device to perform the operation of determining an EEG frequency value based on a preselected aspect of one or more of the resultant signals; and

(e) a tone synthesizer receiving input from said computing device and generating a first audio signal at a first frequency that is delivered to said person'"'"'s first ear and generating a second audio signal that is delivered to said person'"'"'s second ear, said second audio signal having a second frequency that differs from said first frequency by the value of said EEG frequency value.

13. The apparatus of claim 12 wherein said preselected aspect is the frequency at which the peak energy of the EEG signal occurs.

14. The apparatus of claim 12 wherein the frequency of the first audio signal is constant and the volume of first audio signal varies in proportion with the amplitude of said EEG signal.

15. The apparatus of claim 12 wherein said preselected aspect is the frequency at which the peak energy of the EEG signal occurs, the frequency of the first audio signal is constant, and the volume of first audio signal varies in proportion with the amplitude of said EEG signal.

16. The apparatus of claim 12 wherein said preselected aspect is the frequency at which the greatest average energy of the EEG signal occurs over a preselected interval of time.

17. The apparatus of claim 12 wherein said preselected aspect is the frequency at which the greatest average energy of the EEG signal occurs over a preselected interval of time, the frequency of the first audio signal is constant, and the volume of first audio signal varies in proportion with the amplitude of said EEG signal.

18. The apparatus of claim 12 wherein said preselected aspect is the frequency at which the lowest detectable energy of the EEG signal occurs over a preselected interval of time.

19. The apparatus of claim 12 wherein said preselected aspect is the frequency at which the lowest detectable energy of the EEG signal occurs over a preselected interval of time, the frequency of the first audio signal is constant, and the volume of first audio signal varies in proportion with the amplitude of said EEG signal.