Intraoperative monitoring or EP evaluation system utilizing an automatic adaptive self-optimizing digital comb filter

• US 4,705,049 A
• Filed: 08/04/1986
• Issued: 11/10/1987
• Est. Priority Date: 08/04/1986
• Status: Expired due to Fees

• Current Assignee: Erwin R. John
• Original Assignee: Erwin R. John
• Inventors: John, Erwin R.
• Primary Examiner(s): Cohen, Lee S.
• Application Number:
  US06/892,993
• Time in Patent Office: 463 Days
• Field of Search: 128/731, 128/732, 364/417
• US Class Current: 600/544
• CPC Class Codes: A61B 5/377 using evoked responses
• CPC Class Codes: A61B 5/7257 using Fourier transforms

Abstract

An electroencephalograph (EEG) system for the detection of a patient'"'"'s brain waves includes a group of electrodes removably attached to the patient'"'"'s scalp, low-noise high-gain amplifiers and analog/digital converters. A digital comb filter is used to improve the signal-to-noise ratio and has self-optimizing capability. In the digital comb filter, the band pass frequencies are automatically selected by comparing, at each tooth of the comb, the phase variance parameter, under the brain conditions of the presence and absence of a synchronized stimulus producing an evoked potential brain wave.

Claims

1. An electroencephalograph (EEG) system for the detection of a patient'"'"'s brain waves, including:

a series of electrodes adapted to be connected to a plurality of sectors of the patient'"'"'s head to produce analog signals representing the patient'"'"'s brain waves;

amplifier means connected to the electrodes, including low-noise high-gain amplifiers to amplify the analog signals;

analog/digital conversion means connected to the amplifiers to produce sets of digital data corresponding to the patient'"'"'s brain waves;

a digital filter means connected to said analog/digital conversion means to improve the signal-to-noise ratio of the digital data;

digital data analysis means connected to the filter means to analyze the data on a statistical basis to produce analyzed data showing abnormalities and normalities in the brain waves; and

display means to display the analyzed data;

wherein said digital filter means is a digital comb filter which has self-optimizing means to automatically select the band pass frequencies constituting the teeth of the comb filter based on a comparison, at each tooth, of the phase variance parameter of digital data in the brain state of the presence and the brain state of the absence of a synchronized stimulus producing an evoked potential brain wave.

2. An electroencephalograph system as in claim 1 and further including proportional teeth selection means which select and adjust the proportion of signals accepted from each tooth of the comb filter based upon the signal noise ratio in each tooth.

3. An electroencephalograph system as in claim 1 and further including FFT (Fast Fourier Transform) means to control the selection of said teeth, wherein said digital data is subjected to FFT for comparison of the different states.

4. An electroencephalograph (EEG) system for the detection of a patient'"'"'s brain waves, including:

a series of electrodes adapted to be connected to a plurality of sectors of the patient'"'"'s head to produce analog signals representing the patient'"'"'s brain waves;

amplifier means connected to the electrodes, including low-noise high-gain amplifiers to amplify the analog signals;

analog/digital conversion means connected to the amplifiers to produce sets of digital data corresponding to the patient'"'"'s brain waves;

Fast Fourier Transform means connected to said analog/digital conversion means;

a digital filter means connected to said Fast Fourier Transform means to improve the signal-to-noise ratio of the digital data;

Inverse Fast Fourier Transform means connected to and controlled by the digital filter means;

digital data analysis means connected to the Inverse Fast Fourier Transform means to analyze the data on a statistical basis to produce analyzed data showing abnormalities and normalities in the brain waves; and

display means to display the analyzed data;

wherein the digital filter means is a digital comb filter having self-optimizing means to automatically select the band pass frequencies constituting the teeth of the comb filter based on a comparison, at each tooth, of the phase variance parameter of digital data in the brain state of the presence and the brain state of the absence of a synchronized stimulus producing an evoked potential brain wave.

5. An electroencephalograph system as in claim 4 and further including proportional teeth selection means which select and adjust the proportion of signals accepted from each tooth of the comb filter based upon the signal noise ratio in each tooth.

6. The method of improving the signal/noise ratio in an electroencephalograph (EEG) system for the detection of a patient'"'"'s brain waves, including:

connecting a series of electrodes to a plurality of sectors of the patient'"'"'s head to receive analog signals representing the patient'"'"'s brain waves;

amplifying the brain wave signals using low-noise high-gain amplifiers;

producing sets of digital data corresponding to the patient'"'"'s brain waves by analog/digital conversion means connected to the amplifiers;

improving the signal-to-noise ratio of the digital data by a digital comb filter connected to said analog/digital conversion means;

analyzing the data on a statistical, basis to produce analyzed data showing abnormalities and normalities in the brain waves by digital data analysis means connected to the digital comb filter;

displaying the analyzed data on display means;

automatically, and using self-optimizing means, selecting the band pass frequencies constituting the teeth of the comb filter based on a comparison, at each tooth, of the phase variance parameter of digital data in the brain state of the presence and the brain state of the absence of a synchronized stimulus producing an evoked potential brain wave.

7. The method of claim 6 and including the steps of:

defining the optimum comb filter by obtaining samples of signal during stimulation and samples of noise in the absence of stimulation;

obtaining the phase synchrony on said signal and noise samples using Fast Fourier Transform; and

in the course of the procedure, updating the obtaining of samples and phase synchrony to re-define the comb filter.