Blast Dosimetry Computing Device for Real-Time TBI Exposure Monitoring
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Solution Overview
Problem
There is no widely deployed system to dose exposure to explosive blasts or blows, making it difficult to detect mild to moderate traumatic brain injuries (TBIs) in military personnel and other individuals, especially in real-time, due to the variability in events and human responses.
Innovation Solution
An event monitoring dosimetry apparatus with a blast dosimetry computing device, pressure sensors, and inertial measurement units to capture and analyze sensor readings, determining injury risk by adjusting thresholds based on event direction and severity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If no dosimetry system is deployed, then system complexity is low, but the ability to detect and monitor TBI exposure in real-time is lost
Solution Approach 1:
The dosimetry system is segmented into multiple independent sensor units (pressure sensors, accelerometers, gyroscopes) that can be distributed across different locations on the individual's body. Each sensor captures specific physical parameters, and the computing device integrates these segmented data streams to provide comprehensive TBI exposure monitoring without requiring a single complex monolithic system.
Solution Approach 2:
The dosimetry system is designed with multi-functional sensors that can detect multiple types of events (blast waves, impacts, accelerations) using the same hardware platform. The pressure sensors, accelerometers, and gyroscopes serve multiple detection purposes, allowing a single system to monitor various TBI exposure mechanisms simultaneously, reducing overall system complexity while maintaining comprehensive monitoring capability.
2Measurement precision
If multiple sensors are used to capture comprehensive event data, then measurement precision improves, but device complexity increases
Solution Approach 1:
Multiple sensor types (pressure sensors, accelerometers, gyroscopes) are merged into a single integrated dosimetry system with a centralized computing device. The sensors are physically combined in a compact arrangement, and their data streams are merged and processed together, allowing comprehensive event characterization without the complexity of managing separate independent systems. The computing device unifiedly processes all sensor inputs to generate integrated exposure assessments.
3Loss of time
If real-time processing of sensor data is implemented, then response time improves, but energy consumption increases
Solution Approach 1:
The computing device processes sensor data in periodic cycles rather than continuously, analyzing sensor readings at defined intervals to determine event exposure. This periodic processing approach provides timely exposure assessments while allowing the system to enter lower-power states between processing cycles, significantly reducing overall energy consumption compared to continuous real-time processing while maintaining clinically relevant response times.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides effective and efficient real-time data for triage and treatment guidance, capturing event data to understand TBI mechanisms, and can be applied in various settings including military, sports, and daily activities.
Implementation Method 1
at least one pressure sensor... obtaining, by the blast dosimetry computing device, sensor readings comprising at least one of a pressure reading from the at least one pressure sensor
Implementation Method 2
at least one inertial measurement unit... obtaining, by the blast dosimetry computing device, sensor readings comprising at least one of... an acceleration reading from the at least one inertial measurement unit
Data Source
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AI summary
A method, non-transitory computer readable medium, and apparatus that includes obtaining, by a dosimetry computing device, sensor readings from at least one sensor. An event is identified, by the dosimetry computing device, based on at least one of one or more of the obtained sensor readings or one or more determinations based on the obtained sensor readings meeting one or more selection. At least one of the one or more determinations or the sensor readings which meet one or more of the selection criteria when the event is identified is stored by the dosimetry computing device.