Paper
4 August 2000 Pulmonary (cardio) diagnostic system for combat casualty care capable of extracting embedded characteristics of obstructive or restrictive flow
Glenn O. Allgood, Dale A. Treece, Fred J. Pearce, Timothy B. Bentley
Author Affiliations +
Abstract
Walter Reed Army Institute of Research and Oak Ridge National Laboratory have developed a prototype pulmonary diagnostic system capable of extracting signatures from adventitious lung sounds that characterize obstructive and/or restrictive flow. Examples of disorders that have been detailed include emphysema, asthma, pulmonary fibrosis, and pneumothorax. The system is based on the premise that acoustic signals associated with pulmonary disorders can be characterized by a set of embedded signatures unique to the disease. The concept is being extended to include cardio signals correlated with pulmonary data to provide an accurate and timely diagnoses of pulmonary function and distress in critically injured soldiers that will allow medical personnel to anticipate the need for accurate therapeutic intervention as well as monitor soldiers whose injuries may lead to pulmonary compromise later. The basic operation of the diagnostic system is as follows: (1) create an image from the acoustic signature based on higher order statistics, (2) deconstruct the image based on a predefined map, (3) compare the deconstructed image with stored images of pulmonary symptoms, and (4) classify the disorder based on a clustering of known symptoms and provide a statistical measure of confidence. The system has produced conformity between adults and infants and provided effective measures of physiology in the presence of noise.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Glenn O. Allgood, Dale A. Treece, Fred J. Pearce, and Timothy B. Bentley "Pulmonary (cardio) diagnostic system for combat casualty care capable of extracting embedded characteristics of obstructive or restrictive flow", Proc. SPIE 4037, Digitization of the Battlespace V and Battlefield Biomedical Technologies II, (4 August 2000); https://doi.org/10.1117/12.395045
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KEYWORDS
Diagnostics

Acoustics

Algorithm development

Lung

Pulmonary disorders

Pulmonary fibrosis

Prototyping

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