Waveform Display Apparatus for Epileptic Spike Analysis
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Solution Overview
Problem
Current magneto-encephalography techniques face challenges in accurately determining the onset time of Interictal Epileptiform Discharge (IED) and distinguishing between true and false negative results, leading to difficulties in identifying epileptic spike candidates, especially due to low signal-to-noise ratios and inadequate visualization of collateral information.
Innovation Solution
A waveform display apparatus comprising a collateral information drawing unit, a waveform extraction unit, a representative time determination unit, and a waveform classification unit, which extracts characteristic waveforms, determines representative times, and classifies them, providing visual collateral information to enhance user recognition and differentiation between true and false negatives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated extraction of characteristic waveforms is performed to reduce analyzer burden, then productivity is improved, but measurement precision deteriorates due to difficulty in determining true positives and false negatives
Solution Approach 1:
The system provides feedback by displaying collateral information (number of sensors detecting the waveform, representative time, classification result) alongside the extracted waveforms. This allows analysts to verify automated extraction results and make informed decisions about true positives and false negatives, thereby maintaining measurement precision while preserving productivity gains from automation.
Solution Approach 2:
The collateral information acts as an intermediary between the automated extraction system and the human analyst. By providing intermediate verification data (sensor count, timing information, classification confidence), it bridges the gap between automated processing and human judgment, enabling accurate verification without requiring manual re-analysis of raw data.
2Measurement precision
If detailed collateral information is displayed for each extracted waveform, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The collateral information is segmented into distinct, manageable components: (1) number of sensors detecting the waveform, (2) representative time of the waveform, and (3) classification result. This segmentation allows the system to provide comprehensive verification information without creating an overwhelming complex display, as each component can be processed and presented independently.
3Measurement precision
If representative time is determined for each characteristic waveform, then measurement precision is improved, but loss of time increases due to additional processing
Solution Approach 1:
The representative time is determined as part of the automated extraction process itself, rather than as a separate post-processing step. By calculating the representative time (such as peak time or center of mass) during the initial waveform extraction and classification operations, the system avoids additional processing time while still providing accurate timing information for verification.
Data Source
AI summary
A waveform display apparatus includes: a collateral information drawing unit configured to draw collateral information on waveforms with respect to the waveforms in accordance with a predetermined time, the waveforms being acquired by a plurality of sensors and displayed on a screen; a waveform extraction unit configured to extract a characteristic waveform from waveform data; a representative time determination unit configured to determine a representative time of the characteristic waveform extracted by the waveform extraction unit; and a waveform classification unit configured to classify the characteristic waveform extracted by the waveform extraction unit. The collateral information drawing unit is configured to display collateral information corresponding to the representative time of the characteristic waveform in accordance with a classification result by the waveform classification unit, the representative time being determined by the representative time determination unit.