Diagnosis of deep vein thrombosis with NIR spectroscopy

Frederick D. Scott, Kyung A. Kang, G. M. Williams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of this study is to utilize near-infrared spectroscopy as a non-invasive, inexpensive method of diagnosing deep vein thrombosis. The probe contains two light sources and two filter detectors that record monitor deoxyhemoglobin and oxyhemoglobin changes via the monitoring of reflected light of wavelengths 760 and 850 nm. These changes and the sum of these changes, which corresponds to blood volume changes, are plotted over a time period in which the subject undergoes a series of light exercises. The test protocol is designed to determine the muscle tissue's blood volume capacity, rate of filling and efficiency to promote one-directional venous flow. The subject pool consists of Johns Hopkins Hospital Vascular Surgery patients diagnosed with leg deep vein thrombosis with normal subjects as the control. Abnormal venous systems have distinct characteristics: high blood volume; quick rate of filling; and, the inability to decrease the blood volume during the contraction of the muscle.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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