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Proceedings Paper

Optical detection of intravenous infiltration
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Paper Abstract

Infiltration of medications during infusion therapy results in complications ranging from erythema and pain to tissue necrosis requiring amputation. Infiltration occurs from improper insertion of the cannula, separation of the cannula from the vein, penetration of the vein by the cannula during movement, and response of the vein to the medication. At present, visual inspection by the clinical staff is the primary means for detecting intravenous (IV) infiltration. An optical sensor was developed to monitor the needle insertion site for signs of IV infiltration. Initial studies on simulated and induced infiltrations on a swine model validated the feasibility of the methodology. The presence of IV infiltration was confirmed by visual inspection of the infusion site and/or absence of blood return in the IV line. Potential sources of error due to illumination changes, motion artifacts, and edema were also investigated. A comparison of the performance of the optical device and blinded expert observers showed that the optical sensor has higher sensitivity and specificity, and shorter detection time than the expert observers. An improved model of the infiltration monitoring device was developed and evaluated in a clinical study on induced infiltrations of healthy adult volunteers. The performance of the device was compared with the observation of a blinded expert observer. The results show that the rates of detection of infiltrations are 98% and 82% for the optical sensor and the observer, respectively. The sensitivity and specificity of the optical sensor are 0.97 and 0.98, respectively.

Paper Details

Date Published: 25 February 2006
PDF: 10 pages
Proc. SPIE 6080, Advanced Biomedical and Clinical Diagnostic Systems IV, 608016 (25 February 2006); doi: 10.1117/12.646617
Show Author Affiliations
Leonard W. Winchester, CW Optics, Inc. (United States)
Nee-Yin Chou, CW Optics, Inc. (United States)


Published in SPIE Proceedings Vol. 6080:
Advanced Biomedical and Clinical Diagnostic Systems IV
Gerald E. Cohn; Warren S. Grundfest; David A. Benaron; Tuan Vo-Dinh, Editor(s)

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