Blast Exposure Data Filtering for True Positive Detection

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Solution Overview

Problem

Blast exposure data often contains false positive data, which can lead to inaccurate medical diagnoses and is difficult to identify and remove manually at scale.

Innovation Solution

An automated method using a processor to debias, filter, and integrate blast exposure data, identify predefined features associated with false positive classes, and flag data exceeding a threshold score.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual analysis by trained professionals is used to identify false positive data, then measurement precision is improved, but productivity deteriorates

Engineering Contradiction:

Improveaccuracy of false positive identificationVSAvoidprocessing speed of blast data

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

An automated processing system acts as an intermediary between raw blast data and final analysis results. The system includes multiple processing stages (initial processing, intermediate processing, final processing) that automatically identify and remove false positive data using algorithms and predefined criteria, eliminating the need for manual review while maintaining accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The data processing is divided into distinct segments or stages: initial processing stage that performs basic filtering, intermediate processing stage that applies more complex analysis, and final processing stage that produces the output. Each stage handles specific aspects of false positive identification, allowing the system to process data efficiently while maintaining high precision through progressive refinement.

Inventive Principle:

Principle #1Segmentation

2Reliability

If manual analysis by trained professionals is used to identify false positive data, then reliability is improved, but loss of time worsens

Engineering Contradiction:

Improveaccuracy of blast exposure assessmentVSAvoidtime required for data processing

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary automated processing of blast data to identify and remove obvious false positive entries before any detailed analysis is conducted. Predefined criteria and algorithms are applied in advance to filter out clearly invalid data, reducing the time required for subsequent processing while maintaining reliability by preserving all potentially valid data for further analysis.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

An automated processing system serves as an intermediary that reliably processes blast data through multiple staged analyses. The system maintains reliability by implementing comprehensive processing stages that progressively refine results, while simultaneously reducing time loss through automation and parallel processing capabilities.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If automated processing is implemented to identify false positive data, then productivity is improved, but measurement precision may deteriorate

Engineering Contradiction:

Improveprocessing capacity of blast dataVSAvoidaccuracy of false positive detection

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The automated processing system is segmented into multiple specialized stages, each designed to handle specific aspects of false positive identification. The initial processing stage handles basic filtering, the intermediate stage applies complex pattern recognition, and the final stage performs validation. This segmentation allows the system to maintain high precision through progressive refinement while processing large volumes of data efficiently.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs multiple processing stages with different parameter sets and analysis criteria. Each stage uses optimized parameters suited to its specific function, allowing the automated system to achieve high precision by progressively refining results through parameter changes across stages rather than relying on a single fixed set of parameters.

Inventive Principle:

Principle #35Parameter changes

4Loss of time

If automated processing is implemented to identify false positive data, then loss of time is reduced, but device complexity increases

Engineering Contradiction:

Improveprocessing time for blast dataVSAvoidcomplexity of processing system

Core Design Contradiction:

Loss of timeVSDevice complexity

Solution Approach 1:

The processing system is divided into distinct modular stages (initial processing, intermediate processing, final processing), each with specific functions and algorithms. This segmentation reduces overall complexity by breaking down the complex task of false positive identification into manageable, independent modules that can be developed, tested, and maintained separately while processing data quickly through the staged approach.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260071926A1Identifying true positive data within a set of blast exposure data

Publication Date: 2026.03.12 APPLIED RESEARCH ASSOCIATES INC

AI summary

Methods, systems, and computer-readable media for identifying true positive data within a set of blast exposure data. An equation fit is applied to generate one or more equations corresponding to portions of pressure data within the set of blast exposure data. The one or more equations are compared to the pressure data to determine if respective portions of the blast exposure data relates to true positive data.