EEG Artifact Removal for Personalized TMS Frequency Selection

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Solution Overview

Problem

Current methods for treating mental disorders with transcranial magnetic stimulation (TMS) lack effective tools for personalized treatment protocols based on individual brain activity, as existing technologies do not adequately utilize electroencephalogram (EEG) data to tailor stimulation frequencies.

Innovation Solution

A method and system for scoring and reporting EEG data to determine a Brain Synchrony Index by removing artifacts, calculating EEG metrics, and applying a predetermined transfer function, which allows for personalized TMS frequency selection based on individual brain activity patterns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If TMS treatment uses fixed stimulation frequencies, then treatment protocol is simple, but treatment effectiveness is reduced due to lack of personalization

Engineering Contradiction:

Improvetreatment effectivenessVSAvoidtreatment protocol complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by using EEG data to determine individualized stimulation frequencies based on each patient's brain wave characteristics. The system analyzes alpha band power, theta band power, and other EEG parameters to customize the TMS frequency parameter, transforming a fixed-parameter treatment into a variable-parameter treatment that adapts to individual neural characteristics.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent implements feedback by using pre-treatment EEG recordings to inform TMS frequency selection. The system measures baseline brain activity, processes this information through transfer functions, and uses the resulting metrics to guide stimulation parameter selection, creating a closed-loop approach where treatment parameters are determined by individual neural feedback.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If EEG data analysis is performed to personalize TMS treatment, then treatment precision is improved, but processing time and computational complexity increase

Engineering Contradiction:

Improvebrain activity measurement precisionVSAvoiddata processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by collecting and analyzing EEG data before TMS treatment begins. The baseline EEG assessment is performed in advance to determine individualized stimulation frequencies, allowing the treatment protocol to be pre-configured based on neural characteristics without delaying the actual therapeutic intervention.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual EEG analysis with automated computational processing. Transfer functions and algorithms are used to objectively quantify EEG metrics and determine stimulation frequencies, substituting subjective clinical assessment with objective, reproducible computational methods that reduce processing time and variability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20240100351A1Electroencephalogram scoring and reporting for transcranial magnetic stimulation

Publication Date: 2024.03.28 WAVE NEUROSCIENCE INC

AI summary

A method for scoring and reporting electroencephalogram (EEG) data for use in transcranial magnetic stimulation (TMS) therapy. The method may include removing artifacts from the EEG data and determining EEG metrics from the EEG data. The method may further include determining a Brain Synchrony Index from the EEG metrics by applying a predetermined transfer function to the EEG metrics, and reporting the Brain Synchrony Index graphically.