EEG biofeedback method and system for training voluntary control of human EEG activity

• US 4,928,704 A
• Filed: 01/31/1989
• Issued: 05/29/1990
• Est. Priority Date: 01/31/1989
• Status: Expired due to Term

• Current Assignee: Mindcenter Corporation
• Original Assignee: Mindcenter Corporation
• Inventors: Hardt, James V.
• Primary Examiner(s): JAWORSKI, FRANCIS J
• Application Number:
  US07/304,979
• Time in Patent Office: 483 Days
• Field of Search: 128/732, 364/413.05
• US Class Current: 600/545
• CPC Class Codes: A61B 5/375 using biofeedback

Abstract

A biofeedback method and system for use to train a person to develop useful degrees of voluntary control of personal electroencephalogram (EEG) activity. A plurality of EEG potentials from a plurality of locations on the head are individually amplified and filtered in accordance with strict criteria intended for processing in accordance within time constraints limited by natural neurological reactivity. Each resultant signal is processed to provide objective data on brain energies as a function of frequency. Data are presented in real time to the trainee in the form of preselected auditory tones and/or vibro-tactile stimuli indicating with high fidelity the details of EEG activity at a multiplicity of cortical sites. Features of auditory feedback promote learning as well as identification and elimination of spurious artifact states. At periodic intervals, the auditory feedback is supplemented by sensory presentation of digital scores summarizing performances in a metric proportional to brain energy output in the feedback parameters. The scores may be presented as illuminated numerical displays, aurally or both. The system is preferably in an environment designed to control the arousal level of the trainee and the degree of distractibility so as to maximize the learning of voluntary self-control.

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) placing a plurality of EEG sensors at a plurality of cortical sites on a head of said person;

(b) placing said person in an environment of controlled light and sound to control the arousal level and the distractibility of the person;

(c) sensing electric potentials from said plurality of cortical sites to obtain a plurality of channel signals in a plurality of channels;

(d) individually filtering said channel signals within predefined frequency subbands, each said predefined frequency subband 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;

(e) processing each said resultant signal to obtain objective data on brain energies as a function of channel; and

(f) presenting said objective data substantially instantaneously as feedback to said person to indicate to said person personal EEG activity at a said plurality of cortical sites within said predefined frequency spectra in order to facilitate voluntary conscious and unconscious control over said personal EEG activity.

2. The method of claim 1 wherein said presenting step comprises providing said feedback as varying audible signals.

3. The method according to claim 2 further including the steps of:

(g) recording said objective data;

(h) generating a metric of said objective data to obtain metric data;

(i) processing said metric data over a therapy interval to obtain interval cumulative data;

(j) interrupting said presenting step after said time interval; and

(k) presenting said interval cumulative data to said person for a brief time period as a score after said therapy interval in order to allow said person to observe an objective measure of said personal EEG activity.

4. The method according to claim 3 wherein said presenting step (k) further comprises presenting a cumulative record of said scores visually showing amplitude and channel as a function of time.

5. The method according to claim 4 wherein said presenting step (k) further comprises presenting said visual scores in darkness.

6. The method according to claim 4, further comprising applying steps (a) through (f) to a plurality of persons concurrently.

7. The method according to claim 6, further providing at least some instantaneous and interval cumulative data as shared common data among said persons.

8. The method according to claim 3 wherein said metric generating step (h) comprises measuring brain energy output and said processing step (i) comprises averaging said metric data.

9. The method of claim 8 further including the step of:

(1) providing controlled spurious audible signals to said person during said therapy interval in order to allow said person to learn to recognize said personal EEG activity in the presence of interference artifacts.

10. The method according to claim 3 wherein said feedback is a combination of said objective data.

11. The method according to claim 3 wherein said metric data is a combination of said objective data.

12. The method according to claim 3 wherein said interval cumulative data is representative of the amplitude integral of the filtered EEG.

13. The method according to claim 2 wherein said presenting step (f) comprises presenting a primary tone of a first frequency continuously during brainwave activity below a first level, presenting a secondary tone of a second frequency during brainwave activity above said first level, and wherein there is a unique one-to-one direct relationship between instantaneous amplitude of brainwave activity in a selected one of said predefined subbands and amplitude of said primary tone.

14. The method according to claim 13 wherein said amplitude is linearly proportional to instantaneous peak amplitude of a rectified and smoothed EEG signal within said selected one of said predefined subbands.

15. The method according to claim 13 wherein said primary tone is between about 400 Hz and about 800 Hz as a representative signal for alpha training.

16. The method according to claim 13 wherein said primary tone is above about 800 Hz as an example of a tone for theta training.

17. The method of claim 1 wherein said presenting step comprises providing said feedback as varying vibro-tactile signals.

18. The method according to claim 1 wherein said minimal delay is less than 350 ms.

19. 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) an environmental chamber of controlled light and sound enclosing said person to control the arousal level and the distractibility of the person;

(c) means coupled to said EEG sensors for measuring electric potentials sensed by said EEG sensors from said plurality of cortical sites to obtain a plurality of channel signals in a plurality of channels;

(d) a plurality of bandpass filters coupled to said measuring means, at least one bandpass filter means for each one of said channels, each said bandpass filter means 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;

(e) means coupled to said bandpass filter means for processing each said resultant signal to obtain objective data on brain energies as a function of channel; and

(f) means coupled to said processing means for presenting said objective data substantially instantaneously as feedback to said person to indicate to said person personal EEG activity at a said plurality of cortical sites within said predefined frequency spectra in order to facilitate voluntary conscious and unconscious control over said personal EEG activity.

20. The apparatus of claim 19 wherein said presenting means comprises audio signal generators having as input said objective data and as output varying audible signals as said feedback.

21. The apparatus of claim 19 wherein said presenting means comprises vibro-tactile signal generators having as input said objective data and as output varying vibro-tactile signals as said feedback.

22. The apparatus according to claim 21 wherein said providing means is a visual and/or aural score presentation means providing a plurality of score values.

23. The apparatus of claim 22 further including:

(k) means included in said processing means for providing controlled spurious audible signals to said person during said therapy interval in order to allow said person to learn to recognize said personal EEG activity in the presence of interference artifacts.

24. The apparatus according to claim 21 further including means for combining said objective data for feedback.

25. The apparatus according to claim 19 wherein said one bandpass filter is an elliptical filter having a rolloff of at least 300 dB per octave, less than 0.25 dB ripple and greater than 50 dB rejection outside of a passband.

26. The apparatus according to claim 25 wherein said bandpass filter has a passband for delta brainwaves of 2.0 Hz to 3.5 Hz.

27. The apparatus according to claim 25 wherein said bandpass filter has a passband for slow theta brainwaves of 4.2 Hz to 5.4 Hz.

28. The apparatus according to claim 25 wherein said bandpass filter has a passband for broadband theta brainwaves of 4.0 Hz to 6.7 Hz.

29. The apparatus according to claim 25 wherein said bandpass filter has a passband for fast theta brainwaves of 5.5 Hz to 6.8 Hz.

30. The apparatus according to claim 25 wherein said bandpass filter has a passband for slow alpha brainwaves of 7.5 Hz to 8.8 Hz.

31. The apparatus according to claim 25 wherein said bandpass filter has a passband for broadband alpha brainwaves of 7.7 Hz to 12.6 Hz.

32. The apparatus according to claim 25 wherein said bandpass filter has a passband for fast alpha brainwaves of 10.8 Hz to 12.9 Hz.

33. The apparatus according to claim 25 wherein said bandpass filter has a passband for slow beta brainwaves of 14.2 Hz to 17.2 Hz.

34. The apparatus according to claim 25 wherein said bandpass filter has a passband for broadband alpha brainwaves of 15.0 Hz to 24.0 Hz.

35. The apparatus according to claim 19 wherein said presenting means further includes digital-to-analog converter means for converting digital representations of said feedback from said processing means to analog signals for amplifications, wherein said digital-to-analog converter means comprises a digital-to-analog converter unit coupled to and X-Y multiplier having as a first multiplier input an analog representation of said digital representation of said feedback and as a second multiplier input an analog signal source.

36. The apparatus according to claim 35 wherein said signal source is an analog sine wave generator.

37. The apparatus according to claim 19 further including:

(g) means coupled to said processing means for recording said objective data;

(h) means included in said processing means for generating a metric of said objective data to obtain metric data;

(i) means included in said processing means for processing said metric data over a therapy interval to obtain interval cumulative data; and

(j) means included in said processing means to interrupt said presenting means after said time interval for providing said interval cumulative data to said person for a brief time period as a score after said therapy interval in order to allow said person to view an objective measure of said personal EEG activity.