Digital Engineering Methods for Remotely Detecting Phantom Body Motion and EEG-based TBI Risk Analysis
Abstract
Digital engineering is a relatively new concept that, in a broad sense, integrates field data with a system of hardware and software to foster the design of a complex system. In this context, we propose to use digital engineering to understand the #real-time# effect of concurrently collected on-field accelerative/decelerative motion data and dynamic EEG data on the damage of a head simulant embedded with live neuron cells. Our proposal aims to develop methodologies that will enhance our understanding of signal transmission and error estimation in dynamic EEG. Additionally, we seek to explore the interrelation between optical and inertial techniques for tracking body motion. The goal is to establish a connection between these findings and effectively assess the risk of cellular-level brain injury. As such, the proposed activities will further advance our understanding of the Traumatic Brain Injury (TBI) risk to warfighters who are exposed to sudden accelerative motion. Such motion could be generated from events like concussion, exposure toblast, or blunt impact. The insights gained from the proposed study could contribute to better strategies for mitigating TBI risks in various navy-related scenarios.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 15, 2024
- Source ID
- N000142412324
Entities
People
- Ashfaq Adnan
Organizations
- Office of Naval Research
- United States Navy
- University of Texas at Arlington