# US 2014/0194768 A1 · Method And System To Calculate qEEG

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- Number: US 2014/0194768 A1
- Document ID: US20140194768A1
- Status: Published application
- Kind: A1
- Application number: 13/830,742
- Filed: 2013-03-14
- Published: 2014-07-10
- Earliest claimed: 2011-09-19
- Assignees: Persyst Development Corporation
- Inventors: Nicolas Nierenberg; Scott B. Wilson; Mark L. Scheuer
- Web page: https://patentgrep.com/patent/US20140194768A1

## CPC

- A61B 5/372: Analysis of electroencephalograms
- A61B 5/31: for electroencephalography [EEG]
- A61B 5/374: Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
- A61B 5/384: Recording apparatus or displays specially adapted therefor
- A61B 5/7207: {of noise induced by motion artifacts}
- A61B 5/7257: {using Fourier transforms}
- A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems}
- A61B 5/7282: {Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818)}
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

A system and method for calculating a quantitative EEG is disclosed herein. The present invention achieves a level of artifact reduction that the QEEG is now practical on a continuous monitoring basis since artifact reduction is continuously applied to an EEG recording.

## Claims

### Claim 1

A method for calculating a quantitative EEG, the method comprising:
generating a plurality of EEG signals from a machine comprising a plurality of electrodes, an amplifier and processor;
processing the plurality of EEG signals continuously for artifact reduction to generate a processed EEG recording; and
calculating a quantitative EEG from the processed EEG recording.

### Claim 2 (depends on 1)

The method according to claim 1 wherein Fast Fourier Transform signal processing is used to compute the quantitative EEG.

### Claim 3 (depends on 1)

The method according to claim 1 wherein the reduced artifact types are selected from the group comprising an eye blink artifact, a muscle artifact, a tongue movement artifact, a chewing artifact, and a heartbeat artifact.

### Claim 4

A system for calculating a quantitative EEG, the system comprising:
a plurality of electrodes for generating a plurality of EEG signals;
a processor connected to the plurality of electrodes to generate an EEG recording from the plurality of EEG signals; and
a display connected to the processor for displaying an EEG recording;
wherein the processor is configured calculate a quantitative EEG from the processed EEG recording.

### Claim 5 (depends on 4)

The system according to claim 4 wherein the processor is configured to process the EEG signals with a plurality of neural network algorithms to create the processed EEG recording.

### Claim 6 (depends on 5)

The system according to claim 5 wherein the reduced artifact types are selected from the group comprising an eye blink artifact, a muscle artifact, a tongue movement artifact, a chewing artifact, and a heartbeat artifact.

### Claim 7

A method for calculating a quantitative EEG, the method comprising:
generating a plurality of EEG signals from a machine comprising a plurality of electrodes, an amplifier and processor;
processing the plurality of EEG signals continuously for artifact reduction to generate a continuous artifact reduced EEG data; and
computing quantitative EEG using continuous artifact reduced EEG data in near real time.

### Claim 8 (depends on 7)

The method according to claim 7 further comprising anticipating a stroke based on the quantitative EEG.

### Claim 9 (depends on 7)

The method according to claim 7 wherein Fast Fourier Transform signal processing is used to compute the quantitative EEG.

### Claim 10 (depends on 7)

The method according to claim 7 further comprising utilizing the quantitative EEG for seizure detection.