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Encephalolexianalyzer

 Eric L. Altschuler et al
The encephalolexianalyzer uses digital signal processing techniques on electroencephalograph (EEG) brain waves to determine whether or not someone is thinking about moving, e.g., tapping their fingers, or, alternatively, whether someone is actually moving, e.g., tapping their ...
Inventors: Eric L. Altschuler, Farid U. Dowla
Assignee: The Regents of the University of California

U.S. Classification
600/545; 600/544

International Classification
A61B 500

View patent at USPTO

Citations

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4013068Electroencephalographic activated control systemMar 22, 1977
4228806Sleep state inhibited wake-up alarmOct 21, 1980
4228807Biofeedback device for recognition of .alpha. wave component and muscle potential componentOct 21, 1980
4334545Biofeedback systemJun 15, 1982
4354505Method of and apparatus for testing and indicating relaxation state of a human subjectOct 19, 1982
4493539Method and apparatus for objective determination of visual contrast sensitivity functionsJan 15, 1985
4800893Kinesthetic physical movement feedback display for controlling the nervous system of a living organismJan 31, 1989
4832480Differential diagnosis of sensory abnormalities using a normalized, ratiometric analysis of steady state evoked potentialsMay 23, 1989
4846190Electroencephalographic system data displayJul 11, 1989
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5083571Use of brain electrophysiological quantitative data to classify and subtype an individual into diagnostic categories by discriminant and cluster analysisJan 28, 1992

Referenced by

Patent NumberTitleIssue date
6516246Method and system for determining native neurological dominant hemisphereFeb 4, 2003
6615076Neural prosthetic using temporal structure in the local field potentialSep 2, 2003
6731975Method and apparatus for determining the cerebral state of a patient with fast responseMay 4, 2004
6801803Method and apparatus for determining the cerebral state of a patient with fast responseOct 5, 2004
6893407Communication method and apparatusMay 17, 2005
6928354Apparatus and method for controlling vehicle brake using brain wavesAug 9, 2005
7162295Apparatus and method for recognizing positive/negative intention using fine change of gamma wave of brainwaveJan 9, 2007
7334892Method and system for vision enhancementFeb 26, 2008
7334894Temporal vision modificationFeb 26, 2008
7344244Adjustable lens system with neural-based controlMar 18, 2008
7350919Vision modification with reflected imageApr 1, 2008
7390088Adjustable lens system with neural-based controlJun 24, 2008

Claims

What is claimed is:

1. Method of producing a communication or control signal using the mu wave from the brain of a person, comprising:

monitoring the mu wave from the brain of the person;
producing changes in the mu wave by performing movement or movement rehearsal by the person of a particular body part or parts of the person to attenuate the mu wave of the person in a selected pattern from the value of the mu wave when the person is neither moving nor thinking of moving;
measuring said mu wave attenuation from the brain of the person caused by movement or movement rehearsal of said body part or parts of the person;
converting said measured mu wave attenuation to a communication or control signal by signal processing the measured mu wave to obtain a power spectrum and comparing the peak power spectrum value to a predetermined threshold value.

2. Method of claim 1 wherein the mu wave is monitored and mu wave attenuation is measured by placing a pair of electrodes on the central region of the scalp, one on each side of the head, in a position to measure the mu wave and measuring a voltage difference between the electrodes.

3. Method of claim 2 wherein the electrodes are placed substantially over the motor cortex.

4. Method of claim 3 wherein the electrodes are placed substantially at the standard EEG C.sub.3 and C.sub.4 electrode positions.

5. Method of claim 4 wherein a first level of mu wave blocking is measured by movement or movement rehearsal of a finger or hand, and a second level of mu wave blocking is measured by movement or movement rehearsal of another body part.

6. Method of claim 1 wherein the mu wave attenuation is measured in about the 8-13 Hz range.

7. Method of claim 1 wherein the predetermined threshold value is obtained by measuring the mu wave (a) when the person is neither moving nor thinking of moving a body part, and (b) when the person is either moving or thinking of moving a body part; determining the power spectrum of the mu waves from (a) and (b); and selecting a value between the power spectrum from (a) and (b).

8. Method of claim 1 wherein the body part is a finger.

9. Method of claim 1 further comprising selectively attenuating the mu wave for time intervals of varying length by movement or movement rehearsal of said length to produce a control signal having a sequence of time intervals of different lengths.

10. Method of claim 1 wherein mu wave attentuation is measured by placing a pair of electrodes on the central region of the scalp, one on each side of the head and measuring a voltage signal from each electrode, and further comprising differentiating movement or movement rehearsal of a body part from the left and from the right side of the body.

11. Method of claim 1 wherein mu wave attentuation is measured by placing a plurality of electrodes at different positions of the scalp and measuring a voltage signal from each electrode, and further comprising differentiating different parts of the body.

12. Method of claim 11 wherein the plurality of electrodes is more than two and different degrees of mu wave attenuation are measured as a result of movement or movement rehearsal of one body part while consciously thinking about relaxing another body part.

13. Method comprising:

placing a pair of electrodes substantially over the motor cortex of a person's scalp, one on each side of the head;
taking an EEG by measuring a voltage difference signal between the two electrodes;
taking a Fast Fourier Transform (FFT) of the voltage difference signal;
obtaining the power spectrum P=.vertline.FFT.vertline..sup.2 of the voltage difference signal;
comparing the peak value of the power spectrum of the new wave in the 8-13 Hz range to a baseline value to determine whether the person is either (a) neither moving nor thinking of moving a body part, or (b) either moving or thinking of moving a body part;
producing a binary control signal by changing between (a) and (b).

14. Method of claim 13 wherein the baseline is established by taking an EEG of the person (a) at rest, when the person is neither moving nor thinking of moving a body part, and (b) in movement, when the person is either moving or thinking of moving a body part; taking a Fast Fourier Transform (FFT) of the EEG waves in (a) and (b); obtaining a peak value of the power spectrum of the new wave from the FFT in the 8-13 Hz range; and selecting a threshold value of the peak value of the power spectrum which differentiates (a) from (b).

15. Method of claim 14 wherein the body part is a finger.

16. Method of claim 13 wherein the electrodes are placed substantially at the standard EEG C.sub.3 and C.sub.4 electrode positions.

17. Method of producing a communication or control signal by an unaided person, comprising:

monitoring the mu wave from the brain of the person;
determining whether the mu wave is above or below a single threshold value, wherein values above the threshold correspond to the person at rest, when the person is neither moving nor thinking of moving a body part of the person, and values below the threshold correspond to movement, when the person is either moving or thinking of moving a body part of the person;
producing changes above and below the single threshold value by alternating between (a) neither moving nor thinking of moving a body part of the person and (b) either moving or thinking of moving a body part of the person,
producing a binary communication or control signal from the changes of the mu wave above and below the threshold value.

18. Method of claim 17 wherein the threshold value is determined by measuring (a) a maximum value produced by neither moving nor thinking of moving a body part of the person, and (b) an attenuated value produced by either moving or thinking of moving a body part of the person, and selecting a threshold value between values (a) and (b).

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