In-Vehicle Trauma Assessment System Using Kinetics Engine
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Solution Overview
Problem
Current vehicle telematics systems lack real-time, accurate assessment and reporting of trauma to passengers in vehicular crashes, which hinders the efficiency and effectiveness of emergency medical responses.
Innovation Solution
A system comprising in-vehicle sensors, a processor, and a server with a kinetics engine and trauma analysis engine that classifies crashes, calculates forces on passengers, and generates a pain model to provide real-time trauma assessment reports to emergency management clients, utilizing machine learning algorithms and medical literature for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If real-time trauma assessment and reporting system is implemented, then response time and effectiveness of emergency medical services is improved, but system complexity and cost increase
Solution Approach 1:
The system segments trauma assessment into multiple independent modules: crash classification module, force calculation module, organ-specific trauma assessment module, and report generation module. Each module processes specific aspects of trauma evaluation independently, enabling real-time assessment without requiring a monolithic complex system.
Solution Approach 2:
The system performs preliminary classification of crash types and preliminary calculations of forces on organs immediately upon detecting a crash event. This preliminary action prepares trauma assessment data in advance, enabling rapid response time when medical personnel need the information.
2Measurement precision
If accurate trauma assessment algorithm is used, then measurement precision of trauma evaluation is improved, but computational requirements and processing time increase
Solution Approach 1:
The algorithm changes parameters dynamically based on crash severity and organ type. For less critical assessments, simplified parameters are used requiring less computation. For critical cases, more detailed parameters are calculated. This adaptive parameter selection maintains high accuracy where needed while reducing computational energy consumption overall.
Solution Approach 2:
The system performs partial trauma assessment for routine cases, calculating only the most critical organ traumas. For severe crashes, excessive action is taken by calculating all possible organ traumas in detail. This selective approach balances accuracy requirements with computational energy constraints.
Data Source
AI summary
A system and method for evaluating and reporting of trauma to organs of passengers in a vehicular crash in real time is provided. The systems and methods include and use one or more in-vehicle sensors, a processor, a server, and one or more non-transitory computer-readable media to analyze a crash and trauma to passengers. The systems and methods may be further configured to optimize operation of a vehicle to minimize trauma.