Enhanced vision based vein detection system

Kazi Istiaque Ahmed, M. H. Habaebi, M. R. Islam, Nur Aishah Binti Zainal
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引用次数: 7

Abstract

The process of needle infusion is done daily endless times everywhere and even though it is simple procedure the sheer number of erroneous procedures that can be serious and fatal for the patient is attentive. To prevent or at least reduce the number of errors, this paper proposes an easy guiding method for nurse and doctors to be integrated into the procedure. A vision-based imaging technique, that gives a practitioner a new perspective for the needle infusion procedure, is introduced. The idea behind of this process is to use the IR camera to capture video sequences of the arm and then compute the effect of electromagnetic wave imprint on each pixel. Then trace the vein location by locating the NIR illumination that is absorbed by the blood in the vein and highlighting it in comparison to the surrounding tissue. Interestingly, this can lead to other applications for the developed system like locating abdominal bleeding, stroke inducing clots in veins near the skin surface and body part vein map-based individual identification biometric to name a few.
增强的基于视觉的静脉检测系统
针头注射的过程每天在任何地方进行无数次,尽管这是一个简单的程序,但对病人来说可能严重和致命的错误程序的绝对数量是值得注意的。为了防止或至少减少错误的数量,本文提出了一种简单的指导方法,让护士和医生融入到过程中。介绍了一种基于视觉的成像技术,它为医生提供了一种新的针刺注射过程的视角。这个过程背后的想法是使用红外摄像机捕捉手臂的视频序列,然后计算电磁波对每个像素的影响。然后通过定位被静脉中的血液吸收的近红外照明来追踪静脉位置,并将其与周围组织进行比较。有趣的是,这可以为开发的系统带来其他应用,如定位腹部出血,皮肤表面静脉中诱发中风的血栓,以及基于身体部位静脉图谱的个人识别生物识别等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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