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Proceedings Paper

Diagnosis of compartment syndrome using a microwave-based detector
Author(s): Geoffrey S. F. Ling; Krishna M. Pasala; Jeremy Blanchard; Michael Rosner; Abel Jarell; Catherine Yun; Patricia Garcia-Pinto; Ki-Il Song; Keith Day; Ronald G. Riechers; Seth M. Zeidman; Peter Rhee; James M. Ecklund; Thomas Fitzpatrick; Stephen Lockhart
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Paper Abstract

A novel method for identifying compartment syndrome is presented. This method is based on a novel device that uses electromagnetic waves in the microwave radio frequency (RF) region and a modified algorithm previously used for the estimation of the angle of arrival of radar signals. In this study, we employ this radio frequency triage tool (RAFT) to the clinical condition of compartment syndrome, which is a clinical condition where blood or edema in the muscle compartment of the leg leads to critical sichemia of that exptremity. In anesthetized pigs, RAFT, can detect changes in the RF signature from a leg is due to 2cc or greater of either blood or slaine (a surrogate of edema). These results are compared to clinical examination. RAFT is superior to clinical examination in its ability to detect compartment syndrome in pgis.

Paper Details

Date Published: 30 July 2002
PDF: 7 pages
Proc. SPIE 4744, Radar Sensor Technology and Data Visualization, (30 July 2002); doi: 10.1117/12.488284
Show Author Affiliations
Geoffrey S. F. Ling, Uniformed Services Univ. of the Health Sciences and Walter Reed Army Medical Ctr. (United States)
Krishna M. Pasala, Univ. of Dayton (United States)
Jeremy Blanchard, Uniformed Services Univ. of the Health Sciences and Walter Reed Army Medical Ctr. (United States)
Michael Rosner, Uniformed Services Univ. of the Health Sciences and Walter Reed Army Medical Ctr. (United States)
Abel Jarell, Uniformed Services Univ. of the Health Sciences and Walter Reed Army Medical Ctr. (United States)
Catherine Yun, Uniformed Services Univ. of the Health Sciences (United States)
Patricia Garcia-Pinto, Uniformed Services Univ. of the Health Sciences (United States)
Ki-Il Song, Uniformed Services Univ. of the Health Sciences (United States)
Keith Day, Uniformed Services Univ. of the Health Sciences (United States)
Ronald G. Riechers, Uniformed Services Univ. of the Health Sciences (United States)
Seth M. Zeidman, Univ. of Rochester (United States)
Peter Rhee, Uniformed Services Univ. of the Health Sciences (United States)
James M. Ecklund, Uniformed Services Univ. of the Health Sciences and Walter Reed Army Medical Ctr. (United States)
Thomas Fitzpatrick, Walter Reed Army Medical Ctr. (United States)
Stephen Lockhart, California Pacific Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 4744:
Radar Sensor Technology and Data Visualization
Nickolas L. Faust; Nickolas L. Faust; James L. Kurtz; Robert Trebits, Editor(s)

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