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http://dx.doi.org/10.17661/jkiiect.2022.15.6.463

A Study on the Implementation and Development of Image Processing Algorithms for Vibes Detection Equipment  

Jin-Hyoung, Jeong (Department of Biomedical IT, Catholic Kwandong University)
Jae-Hyun, Jo (Department of Biomedical Engineering, Catholic Kwandong University)
Jee-Hun, Jang (Department of Sport & Leisure Studies, 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. 463-470 More about this Journal
Abstract
Intravenous injection is widely used for patient treatment, including injection drugs, fluids, parenteral nutrition, and blood products, and is the most frequently performed invasive treatment for inpatients, including blood collection, peripheral catheter insertion, and other IV therapy, and more than 1 billion cases per year. Intravenous injection is one of the difficult procedures performed only by experienced nurses who have been trained in intravenous injection, and failure can lead to thrombosis and hematoma or nerve damage to the vein. Nurses who frequently perform intravenous injections may also make mistakes because it is not easy to detect veins due to factors such as obesity, skin color, and age. Accordingly, studies on auxiliary equipment capable of visualizing the venous structure of the back of the hand or arm have been published to reduce mistakes during intravenous injection. This paper is about the development of venous detection equipment that visualizes venous structure during intravenous injection, and the optimal combination was selected by comparing the brightness of acquired images according to the combination of near-infrared (NIR) LED and Filter with different wavelength bands. In addition, an image processing algorithm was derived to threshehold and making blood vessel part to green through grayscale conversion, histogram equilzation, and sharpening filters for clarity of vein images obtained through the implemented venous detection experimental module.
Keywords
vein detecting; venipuncture; nurse; near-infrared light; image processing;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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