Dynamic Seizure Likelihood Estimation With Minimal EEG Electrodes

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing EEG systems for epilepsy diagnosis are time-consuming and expensive to manufacture, prone to electrode misplacement, and lack dynamic models to predict seizure likelihood, particularly for patients who do not respond to drug treatments.

Innovation Solution

A system using a processor and memory to estimate epileptiform activity over time, incorporating a model that utilizes EEG data and physiological factors like sleep and cortisol levels, with a bifurcation structure to predict seizure likelihood, and a wearable EEG headset with minimal electrodes for accurate brain activity monitoring.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional EEG systems with multiple electrodes are used for epilepsy diagnosis, then measurement precision is improved, but device complexity and manufacturing cost increase

Engineering Contradiction:

Improveseizure detection accuracyVSAvoidelectrode system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential electrodes needed for seizure detection from the complete EEG system, using a minimal set of electrodes placed at specific locations (e.g., Fp1, Fp2, F7, F3, Fz, F4, F8, T3, C3, Cz, C4, T4, T5, P3, Pz, P4, T6, O1, O2) to capture critical brain activity while eliminating unnecessary complexity

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The EEG headset is designed to serve multiple functions: it performs seizure detection, monitors brain activity patterns, tracks physiological parameters, and provides dynamic seizure likelihood estimation, allowing a single device to replace multiple specialized tools

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If traditional EEG systems are manufactured with complete electrode sets, then measurement precision is improved, but manufacturing cost and waste increase

Engineering Contradiction:

Improvebrain activity monitoring accuracyVSAvoidmanufacturing cost and waste

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The electrode system is segmented into modular components that can be independently manufactured and assembled, allowing production of standardized electrode modules that reduce manufacturing complexity and enable efficient assembly processes

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent changes the parameter of electrode quantity from traditional high numbers to a minimized essential set, and modifies electrode placement parameters to standardized locations, thereby simplifying manufacturing while preserving diagnostic accuracy

Inventive Principle:

Principle #35Parameter changes

3Device complexity

If static EEG analysis is performed, then device complexity is reduced, but loss of information about dynamic seizure likelihood increases

Engineering Contradiction:

Improveanalysis system simplicityVSAvoidseizure likelihood prediction

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The system transitions from static EEG analysis to dynamic analysis by continuously monitoring brain activity over time, updating seizure likelihood estimates in real-time based on changing physiological patterns and temporal evolution of brain signals

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback mechanisms where detected brain activity patterns are fed back into the analysis model to update and refine seizure likelihood predictions, creating a closed-loop system that adapts to changing conditions

Inventive Principle:

Principle #23Feedback

4Reliability

If comprehensive physiological monitoring is implemented, then reliability of seizure prediction is improved, but device complexity increases

Engineering Contradiction:

Improveseizure prediction accuracyVSAvoidmonitoring system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple monitoring functions (EEG signal acquisition, physiological parameter sensing, dynamic modeling, and prediction algorithms) into an integrated system that operates as a unified whole, reducing overall complexity through functional consolidation

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20250380897A1Method and system for estimating dynamic seizure likelihood

Publication Date: 2025.12.18 NEURONOSTICS LTD

AI summary

There is presented a system for estimating the change over time of a likelihood of future epileptiform activity of a patient. A memory stores a model for estimating the likelihood of epileptiform activity of the patient. The model is configured to use data representing coupled brain activity for a plurality of different brain regions of the patient. The coupled brain activity associated with a brain network. The processor is configured to determine one or more parameters for the model using one or more measurements of at least one physiological factor of the patient. The processor is configured to fit the model, using the one or more parameters, to at least a first value associated with likelihood of epileptiform activity derived from one or more measurements of the patient's brain activity; the one or more measurements of the patient's brain activity for determining the data representing coupled brain activity in the model. The processor is configured to estimate the change over time of the likelihood of future epileptiform activity from the fitted model.