IP Library Granted Patent US 12,616,421
Granted Patent B2
US 12,616,421 · App. 18/225,322 · Granted May 5, 2026

System and method for generating a probability value for an epileptiform abnormality by neural network to identify signal spikes

Inventors: Nicolas Nierenberg (La Jolla, CA); Scott B. Wilson (Del Mar, CA); Mark L. Scheuer (Wexford, PA)
Assignee: Persyst Development Corporation
A61B5/7267A61B5/31A61B5/384A61B5/7203
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Quick Facts
Patent No.
US 12,616,421
App. No.
18/225,322
Granted
May 5, 2026
Kind
B2
Abstract

A method and system for generating a probability value for an event. The system includes a source for generating a plurality of digital input signals, a processor connected to the source to receive the plurality of digital input signals from the source, and a display connected to the processor for displaying a final output. Preferably, the method further includes validating the probability value.

Claims (39)

1 . A method for removing artifacts in an electroencephalogram (EEG) recording, the method comprising:

generating an EEG recording from a machine comprising

a plurality of electrodes for generating a plurality of EEG signals,

at least one amplifier connected to each of the plurality of electrodes by a plurality of wires to amplify each of the plurality of EEG signals,

a processor connected to the amplifier to generate an EEG recording from the plurality of EEG signals,

wherein the processor is configured to execute a spike review program to the EEG recording to detect a plurality of spikes on the EEG recording, and a spike detector neural network algorithms to identify sharp transients to determine a probability of being epileptiform abnormalities as a epileptiform abnormality; and

a display connected to the processor for displaying an EEG recording;

displaying the EEG recording on the display, the EEG recording comprising a plurality of artifacts wherein the plurality of artifacts comprises at least two of a muscle artifact, an eye movement artifact, an electrical artifact, a heartbeat artifact, a tongue movement artifact, and a chewing artifact;

selecting at least one of the plurality of artifacts to automatically be removed from the EEG recording using a user interface on the display;

triggering a button on a computer display to apply at least one filter of a plurality of filters to remove the at least one artifact of the plurality of artifacts from the EEG recording, wherein the button is a keyboard button or a touchscreen button, and wherein the processor is configured to apply at least one filter program to remove a filter from the EEG recording; and

generating a filtered EEG recording on the display for viewing.

2 . The method according to claim 1 further comprising selecting colors for traces and the amount of darkness.

3 . A method for removing artifacts in an electroencephalogram (EEG) recording, the method comprising:

generating an EEG recording from a machine comprising

a plurality of electrodes for generating a plurality of EEG signals,

at least one amplifier connected to each of the plurality of electrodes by a plurality of wires to amplify each of the plurality of EEG signals,

a processor connected to the amplifier to generate an EEG recording from the plurality of EEG signals,

wherein the processor is configured to execute a spike review program to the EEG recording to detect a plurality of spikes on the EEG recording, and spike detector neural network algorithms to identify sharp transients to determine a probability of being epileptiform abnormalities as a epileptiform abnormality; and

a display connected to the processor for displaying an EEG recording;

displaying the EEG recording on the display, the EEG recording comprising a plurality of artifacts wherein the plurality of artifacts comprises at least two of a muscle artifact, an eye movement artifact, an electrical artifact, a heartbeat artifact, a tongue movement artifact, and a chewing artifact;

filtering the EEG recording to remove a first artifact to generate a first filtered EEG recording to replace the EEG recording on the display, wherein the processor is configured to apply a first filter program to the EEG recording;

filtering the first filtered EEG recording to remove a second artifact to generate a second filtered EEG recording to replace the first filtered EEG recording on the display wherein the processor is configured to apply a second filter program to the EEG recording;

filtering the second filtered EEG recording to remove a third artifact to generate a third filtered EEG recording to replace the second filtered EEG recording on the display wherein the processor is configured to apply a third filter program to the EEG recording;

filtering the third filtered EEG recording to remove a fourth artifact to generate a fourth filtered EEG recording to replace the third filtered EEG recording on the display wherein the processor is configured to apply a fourth filter program to the EEG recording; and

generating a clean EEG recording for viewing from a last filtered EEG recording,

wherein each of the first artifact, the second artifact, the third artifact and the fourth artifact is selected from the group comprising muscle artifact, eye movement

artifact, electrical artifact, heartbeat artifact, tongue movement artifact, and chewing artifact.

4 . A non-transitory computer-readable medium that stores a program that causes a processor to perform functions for removing artifacts in an electroencephalogram (EEG) recording by executing the following steps:

generating an EEG recording from a machine comprising

a plurality of electrodes for generating a plurality of EEG signals,

at least one amplifier connected to each of the plurality of electrodes by a plurality of wires to amplify each of the plurality of EEG signals,

a processor connected to the amplifier to generate an EEG recording from the plurality of EEG signals,

wherein the processor is configured to execute a spike review program to the EEG recording to detect a plurality of spikes on the EEG recording, and spike detector neural network algorithms to identify sharp transients to determine a probability of being epileptiform abnormalities as a epileptiform abnormality; and

a display connected to the processor for displaying an EEG recording;

displaying the EEG recording on the display, the EEG recording comprising a plurality of artifacts wherein the plurality of artifacts comprises at least two of a muscle artifact, an eye movement artifact, an electrical artifact, a heartbeat artifact, a tongue movement artifact, and a chewing artifact;

selecting at least one of the plurality of artifacts to automatically be removed from the EEG recording using a user interface on the display;

triggering, through use of a mouse, a button on a computer display to apply at least one filter of a plurality of filters to remove the at least one artifact of the

plurality of artifacts from the EEG recording, and wherein the processor is configured to apply at least one filter program to remove a filter from the EEG recording; and

generating a filtered EEG recording on the display for viewing.

Assignments (1)
CHANGE OF NAME Recorded Dec 11, 2024
From: PERSYST DEVELOPMENT CORPORATION
To: PERSYST DEVELOPMENT LLC
Reel/Frame 069603/0585 →
Continuity (5)
Continuation 17175635 · Feb 13, 2021
Continuation 16101485 · Aug 12, 2018
Continuation 14222655 · Mar 23, 2014
Provisional Application 61929120 · Jan 20, 2014
Related Publication 20230368023A1 · Nov 16, 2023
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