Wearable Technologies for Autonomous Combat Casualty Care

Abstract

This project proposes to advance wearable sensing and machine learning technologies for estimating blood volume status for the Warfighter in austere environments. Reduced blood volume, or hypovolemia, is experienced by the modern Warfighter in a variety of circumstances ranging from exsanguination to hypoxia, and can lead to shock or collapse. This proposed effort builds on the teams existing technologies to address two research objectives. Objective 1: Refine the existing wearable patch hardware to include wireless data transmission such that the data can be captured by Google Glass and viewed in real-time. Objective 2: Develop and validate an external phantom that can create synthetic signals that can be input to the wearable patch in real-time for testing on a mannikin in the presence of external vibrations. This research program will result in a combination of optimized wearable hardware, including tools for enabling the assessment of this hardware in field settings relevant to autonomous medicine for the first time. While the initial impact will be on Warfighter health and protection, the technologies can have broad use in civilian applications as well.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 15, 2021
Source ID
N000142112036

Entities

People

  • Ömer İnan

Organizations

  • Georgia Tech Research Corporation
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Trauma or Military Medicine

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy