Adaptive Absence EEG Stage Division Scheme Selection
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Solution Overview
Problem
Current methods for evaluating absence EEGs, particularly in young patients, lack reliability due to age-dependent characteristics and varying brain maturity, making it difficult to accurately determine the current stage of absence states.
Innovation Solution
A method and device for automatically evaluating absence EEGs that select a development- or age-adapted stage division scheme from multiple options, allowing for flexible adaptation and reliable determination of the current stage, using EEG curves recorded by an evaluation device and processed by a computer, which can change schemes based on identified features during the absence state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed stage division scheme is used for all patients, then the evaluation method is simple and easy to implement, but the reliability of stage determination is poor for very young patients due to age-dependent EEG characteristics
Solution Approach 1:
The patent implements a dynamic stage division scheme that automatically adapts to the patient's age and EEG characteristics. The system selects from multiple pre-defined stage division schemes (first, second, third schemes with different numbers of stages) based on the patient's age group, allowing the evaluation method to change its parameters dynamically rather than using a fixed scheme for all patients.
Solution Approach 2:
The patent changes the parameter of stage division granularity based on patient age. For very young patients (e.g., newborns), a scheme with fewer stages is used, while for older patients, a scheme with more stages is applied. This parameter adaptation resolves the contradiction by matching the complexity of the evaluation scheme to the maturity of the patient's brain.
2Measurement precision
If multiple age-adapted stage division schemes are implemented, then the evaluation is more reliable for different patient groups, but the device complexity and computational requirements increase
Solution Approach 1:
The patent performs preliminary classification of patients into age groups before applying the detailed stage division. By pre-defining multiple stage division schemes corresponding to different age groups and selecting the appropriate scheme based on the patient's age, the system avoids the complexity of real-time analysis of EEG characteristics while still achieving age-adapted precision.
Solution Approach 2:
The patent segments the patient population into different age groups, each with its own optimized stage division scheme. This segmentation allows the system to apply simpler schemes to newborns and more complex schemes to older patients, optimizing measurement precision for each group without requiring the system to handle all cases with the most complex scheme.
3Adaptability or versatility
If the stage division scheme is changed dynamically during evaluation, then the evaluation adapts to brain maturity development, but the computational processing time increases
Solution Approach 1:
The patent performs the scheme selection in advance based on the patient's age rather than dynamically during the EEG evaluation. The appropriate stage division scheme is selected before the actual stage determination process begins, avoiding time-consuming dynamic adjustments during the evaluation while still achieving adaptability to the patient's developmental stage.
Data Source
AI summary
The invention relates to a method for automatically evaluating an absence EEG, wherein EEG curves are recorded by an evaluating device and are evaluated by means of a computer of the evaluating device, wherein in the evaluation at least the current stage of the absent state is determined from the EEG curves by means of the computer on the basis of a stage division of the absence EEG, wherein stages of the depth of the absent state are distinguished in the stage division, and wherein the current stage is output, wherein a certain scheme of the stage division is selected by the computer from a plurality of selectable schemes of stage divisions, which differ in the number of distinguishable stages of the absent state, and is used for the automatic performance of the stage division in order to determine the current stage. The invention further relates to a computer program for performing such a method and to an evaluating device for evaluating an absence EEG.