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http://dx.doi.org/10.17661/jkiiect.2022.15.6.485

A Study on the Comparison of Detected Vein Images by NIR LED Quantity of Vein Detector  

Jae-Hyun, Jo (Department of Biomedical Engineering, Catholic Kwandong University)
Jin-Hyoung, Jeong (Department of Biomedical IT, Catholic Kwandong University)
Seung-Hun, Kim (Department of Biomedical Engineering, Catholic Kwandong University)
Sang-Sik, Lee (Department of Biomedical Engineering, Catholic Kwandong University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.15, no.6, 2022 , pp. 485-491 More about this Journal
Abstract
Intravenous injection is the most frequent invasive treatment for inpatients and is widely used for parenteral nutrition administration and blood products, and more than 1 billion procedures are used for peripheral catheter insertion, blood collection, and other IV therapy per year. Intravenous injection is one of the difficult procedures to be performed only by trained nurses with intravenous injection training, and failure can lead to thrombosis and hematoma or nerve damage to the vein. Accordingly, studies on auxiliary equipment capable of visualizing the vein structure of the back of the hand or arm are being published to reduce errors during intravenous injection. This study is a study on the performance difference according to the number of LEDs irradiating the 850nm wavelength band on a vein detector that visualizes the vein during intravenous injection. Four LED PCBs were produced by attaching NIR filters to CCD and CMOS camera lenses irradiated on the skin to acquire images, sharpen the acquired images using image processing algorithms, and project the sharpened images onto the skin. After that, each PCB was attached to the front end of the vein detector to detect the vein image and create a performance comparison questionnaire based on the vein image obtained for performance evaluation. The survey was conducted on 20 nurses working at K Hospital.
Keywords
Vein; vein detecting; Intravenous(IV) injection; Near-infrared light; Image processing;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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