Rapid automatic electroencephalographic evaluation

• US 4,279,258 A
• Filed: 03/26/1980
• Issued: 07/21/1981
• Est. Priority Date: 03/26/1980
• Status: Expired due to Term

• Current Assignee: New York University
• Original Assignee: John E. Roy
• Inventors: John, E. Roy
• Primary Examiner(s): Kamm, William E.
• Application Number:
  US06/134,309
• Time in Patent Office: 482 Days
• Field of Search: 128/731, 128/732
• US Class Current: 600/544
• CPC Class Codes: A61B 5/276 Protection against electrode failure
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/374 Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves

Abstract

The rapid automatic examination and evaluation of large numbers of subjects by electroencephalography is accomplished by removably securing electrodes to the head of each subject under test to provide a plurality of channels of brain wave information corresponding to different head regions. The brain wave signals are amplified, converted into digital form, and the relative power in each of a plurality of frequency bands for each head region is automatically compared with a set of comparative relative power data derived from a normal population by computing a Z-transform. The results of that comparison are then displayed.

Claims

1. A method in electroencephalography for testing subjects to determine organic brain dysfunction by diffuse or localized shifts in the EEG spectrum, the method comprising:

removably securing a plurality of electrodes to the head of said subject under test, providing multiple channels of information with each channel being from a different head region;

amplifying the on-going signals representing brain waves from each of said head regions while the subject sits relaxed with a minimum of external stimuli;

converting the said amplified signals into digital form;

dividing the digital form brain wave signals into a plurality of frequency bands;

computing the power in each of said frequency bands for each head region to provide frequency band relative (%) power;

automatically comparing said relative power in each frequency band with a set of normative relative power data derived from a normal population using the formula;

space="preserve" listing-type="equation">a.sub.o +a.sub.1.sup.t +a.sub.2.sup.t.spsp.2 +a.sub.3.sup.t.spsp.3 +a.sub.4.sup.t.spsp.4

where t is age related and the coefficients A_o . . . a₄ are determined by data from the normal population, where a different polynomial is used to define the relative power expected in each frequency band in each head region;

computing the Z-transform of each subject value relative to the means and standard deviations of the normative data; and

displaying the results for each subject of such computation for each of said different head regions at each of said frequency bands.

2. The method of electroencephalography of claim 1 wherein said electrodes comprise pairs of electrodes from portions of the subject'"'"'s head and said display is in sectors corresponding to the said head portions.

3. The method of electroencephalography of claim 1 wherein said plurality of frequency bands are four bands.

6. A method in electroencephalography as in claims 1, 2, 3, 4 or 5 in which the vector sum Z of the univariate deviations Z.sub.Δ

, Z.sub.θ

, Z.sub.α and

Z.sub.β

(Z=|Z.sub.Δ

² +Z.sub.θ

² +Z.sub.α

² +Z.sub.β

² |1/2) is computed for the relative power in the Δ

, θ

, α and

β

frequency bands in each region;

in which the normative equations or tables are scanned to ascertain the electrophysiological age t_EEG at which Z falls within an acceptable range determined from the population of normal values;

in which the discrepancy between the actual age of the subject t_ACTUAL and the apparent electrophysiological age t_EEG, t_ACTUAL -t_EEG is calculated to define the maturational lag for each brain region; and

in which the region is defined as displaying a developmental deviation if the value of Z is not acceptably small for any value of t.

4. A method in electroencephalography for testing subjects to determine organic brain dysfunction by diffuse or local shifts in the EEG spectrum, the method comprising:

removably securing a plurality of electrodes to the head of said subject under test, providing multiple channels of information with each channel being from a different head region;

amplifying the on-going signals representing brain waves from each of said head regions while the subject sits relaxed with a minimum of external stimuli;

converting the said amplifier signals into digital form;

dividing the digital form brain wave signals into a plurality of frequency bands;

computing the power in each of said frequency bands to provide frequency band relative (%) power;

automatically comparing said relative power in each frequency band with a set of normative relative power data derived from a normal population and related in age to the subject;

computing the Z-transform of each subject value relative to the means and standard deviations of the normative data; and

displaying the results for each subject of such computation for each of said frequency bands according to the head locations tested.

5. The method of electroencephalography of claim 4 wherein said set of normative relative power data is a normative table contained in computer memory.

7. A system in electroencephalography for screening of subjects to determine organic brain dysfunction by diffuse or local shifts in the EEG spectrum, comprising:

a plurality of electrodes removably secured to the head of said subject to detect the brain waves of the subject and connected to selected different regions of the subject'"'"'s head;

means for simultaneously amplifying the brain wave signals from each of said electrodes;

means for converting the amplified signals into digital form;

means for dividing the digital form brain wave signals from each of said selected head regions into a plurality of frequency bands, computing the power in each of said bands at each of said head portions to provide regional frequency band relative (%) power;

automatically comparing said regional frequency-band relative power with a set of normative results from a normal population using the formula;

space="preserve" listing-type="equation">a.sub.o +a.sub.1.sup.t +a.sub.2.sup.t +a.sub.3.sup.t.spsp.3 +a.sub.4.sup.t.spsp.4

where t is age related and the coefficients a_o . . . a₄ are determined by the data from the normal population;

means for computing the Z-transform of each subject value relative to the means and standard deviations of the normative results; and

means to display the results of the said Z-transform computation.

8. A system in electroencephalography as in claim 7 wherein said display means includes portions of illuminable panels corresponding in location to the said local selected head areas, and means to light each panel portion with a light whose color depends upon the results of the said computation.

9. A system in electroencephalography for screeing of subjects to determine organic brain dysfunction by diffuse or local shifts in the EEG spectrum, comprising:

a plurality of electrodes removably secured to the head of said subject to detect the brain waves of the subject and connected to selected different regions of the subject'"'"'s head;

means for simultaneously amplifying the brain wave signals from each of said electrodes;

means for converting the amplified signals into digital form;

means for dividing the digital form brain wave signals from each of said selected head regions into a plurality of frequency bands, computing the power in each of said bands at each of said head portions to provide regional frequency band relative (%) power;

computer memory means for storing age-related normative tables of relative (%) power for each of said frequency bands;

means for automatically comparing said regional frequency-band relative power with normative results from a normal population using said stored normative tables;

means for computing the Z-transform of each subject value relative to the means and standard deviations of the normative results; and

means to display the results of the said Z-transform computation.

10. A system in electroencephalography as in claim 9 wherein said display means includes portions of illuminable panels corresponding in location to the said local selected head areas, and means to light each panel portion with a light whose color depends upon the results of the said computation.

11. A system in electroencephalography as in claims 7, 8, 9 or 10 in which the vector sum Z of the univariate deviations Z.sub.Δ

, Z.sub.θ

, Z.sub.α and

Z.sub.β

(Z=|Z.sub.Δ

² +Z.sub.θ

² +Z.sub.α

² +Z.sub.β

² |1/2) is computed for the relative power in the Δ

, θ

, α and

β

frequency bands in each region;

in which the normative equations or tables are scanned to ascertain the eletrophysiological age t_EEG at which Z falls within an acceptable range determined from the population of normal values;

in which the discrepancy between the actual age of the subject t_ACTUAL and the apparent electrophysiological age t_EEG, t_ACTUAL -t_EEG is calculated to define the maturational lag for each brain region; and

in which the region is defined as displaying a developmental deviation if the value of Z is not acceptably small for any value of t.