EEG Montage Generation via Spatial Electrode Visualization
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Solution Overview
Problem
High channel count EEG systems face challenges in creating visually useful and discernible montages, as conventional systems are inflexible and require extensive time for manual selection of EEG signal inputs, limiting customized exploration and detailed morphology analysis.
Innovation Solution
A computer-readable medium with executable programmatic instructions generates user-defined montages by displaying a graphical interface for selecting EEG electrodes, acquiring signals, and creating comparative traces, enabling dynamic montage generation and customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of EEG signal inputs is used in conventional systems, then montage creation is possible, but the time required for montage creation is extensive and the system is inflexible
Solution Approach 1:
The system performs preliminary actions by automatically detecting electrode positions and pre-configuring montage parameters before user interaction. The graphical interface pre-displays all available electrodes and their spatial relationships, allowing users to simply select from pre-processed options rather than manually configuring each parameter from scratch.
Solution Approach 2:
The system enables self-service by allowing users to independently create custom montages through intuitive graphical interface interactions. Users can select electrodes, define montage types, and generate visualizations autonomously without requiring operator intervention or complex manual configuration procedures.
2Quantity of substance
If high channel count EEG systems are used, then more electrodes can be monitored, but creating visually useful and discernible montages becomes challenging
Solution Approach 1:
The system segments the large set of high-channel-count electrodes into manageable groups and displays them in an organized graphical interface. Electrodes are spatially arranged and can be individually or collectively selected, allowing users to create focused montages from the full set without being overwhelmed by the total number of channels.
Solution Approach 2:
The system transitions from one-dimensional channel listings to two-dimensional spatial representations of electrodes on the scalp or brain surface. This dimensional change provides visual context for electrode relationships and helps users understand spatial patterns in the data, making it easier to create meaningful montages from high channel counts.
3Adaptability or versatility
If conventional EEG systems are used, then standard monitoring is possible, but customized exploration and detailed morphology analysis are limited
Solution Approach 1:
The system implements dynamic montage creation where users can interactively adjust parameters, select different electrode combinations, and regenerate montages in real-time. The graphical interface responds dynamically to user selections, allowing flexible exploration of different viewing options and detailed morphological analysis without being constrained by fixed pre-programmed configurations.
Data Source
AI summary
Computer-implemented methods of enabling an on-the-fly generation of at least one user-defined montage from EEG electrodes positioned in a patient's brain, on the patient's brain and/or on the patient's scalp. The methods includes generating a graphical interface to display a view of the patient's brain and/or scalp overlaid with the EEG electrodes, each of which is uniquely identified with reference to its position in the patient's brain, on the patient's brain and/or on the patient's scalp, displaying a tool within the graphical interface for selecting at least one electrode from the displayed EEG electrodes, indicating a reference electrode corresponding to the selected electrode, accessing EEG signals corresponding to the electrode and the reference electrode, and generating another graphical interface to display an EEG trace indicative of a comparison of EEG signals of the electrode and the reference electrode.