Smart Oxygen Monitors to Diagnose and Treat Cardiopulmonary Injuries

Abstract

Resources and expertise needed to rapidly diagnose and initiate lifesaving interventions (LSI s) in soldiers suffering from chest trauma and/or lung injury is a recognized gap for combat casualty care. Pulmonary injury is characterized by the need for increased inhaled oxygen (higher inspired oxygen percentage [FiO2]) to maintain oxygenation throughout the body. Deficits in perfusion occur when the cardiovascular system is compromised by hemorrhage, pneumothorax, and other forms of shock. The proposed project integrates non- invasive, commercial off the shelf (COTS) products with autonomous systems. Specifically, oxygenation data, which is continuously streamed and displayed in real- time, will be used to construct patient status and treatment algorithms. Our project goal is to implement novel recognition decision support systems with early warning alarms and display and/or initiate recommended therapies. These smart- oxygenation- systems (SOS) will identify oxygenation deficits in pulmonary function or circulation. A key component of SOS s are that they are built using a proven closed loop oxygen flow controller (CLC- FiO2). Additional information on global and regional oxygen deficits will be seamlessly adapted into these algorithms and displays using other small non- invasive COTS hardware such as COSMO capnography and Nonin Equanox.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2013
Accession Number
ADA590700

Entities

People

  • Michael Kinsky

Organizations

  • University of Texas Medical Branch

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Systems
  • Burns
  • Cardiovascular Physiological Phenomena
  • Engineering
  • Hemorrhage
  • Medical Personnel
  • Oxygenation
  • Perfusion
  • Physiological Monitoring
  • Prototypes
  • Pulmonary Function
  • Recognition
  • Regression Analysis
  • Resuscitation
  • Standards
  • Ventilation

Readers

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

Technology Areas

  • Autonomy