Title :
A functional test for the detection of infusion lines extravasation
Author :
Mayer, Arnaldo ; Zholkover, Adi ; Keidan, Ilan
Author_Institution :
Diagnostic imaging Dept., Sheba Med. Center, Ramat-Gan, Israel
Abstract :
Extravasation during intravenous (IV) infusion is a common secondary effect with potentially serious clinical consequences. The correct positioning of the needle in the vein may be difficult to confirm when no blood return is observed. In this paper, a novel method is proposed for the detection of extravasation during infusion therapy. A small volume of a sodium bicarbonate solution is administrated IV and, following its consecutive dissociation, an excess of carbon dioxide (CO2) is rapidly exhaled by the lungs. The analysis of the exhaled CO2 signal by a pattern recognition algorithm enables the robust detection of the CO2 excess release, thereby confirming the absence of extravasation. Initial results are presented for the application of the method on a group of 89 oncology patients.
Keywords :
carbon compounds; lung; medical signal detection; medical signal processing; needles; patient treatment; pattern recognition; pneumodynamics; CO2; dissociation; exhaled CO2 signal; infusion lines extravasation; infusion therapy; lungs; needle positioning; oncology; pattern recognition algorithm; sodium bicarbonate solution; vein; Kernel; Lungs; Manganese; Signal to noise ratio; Support vector machines; Training; Veins;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6944545