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Designing and Building the Vein Finder System Utilizing Near-Infrared Technique

机译:利用近红外技术设计与构建静脉发现系统

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The process of venipuncture is a necessity for obtaining intravenous access for intravenous therapy or blood sampling of venous blood. Therefore, a vein finder system is an effective solution not only to make venipuncture safe and accurate but also to reduce anxiety and stress of patients and to improve donation comfort and efficiency. Vein visualization technology utilizes noninvasive infrared technology in capturing the real-time venous image on the patient's skin and making it observable. In the procedure executed by this system, the sample's skin is exposed to the near-infrared (NIR) light transmitted from an 850 nm 12 W 6-LED array. Following this, Raspberry Pi 3 Model B, connected with NoIR Camera Board, is utilized as an image acquisition equipment to capture the NTR illuminated skin area. Next, the raw data will be transferred to the computer to perform the filtering and processing technique before being displayed on the monitor. The system is examined on 24 volunteers with various age and gender groups. The output venous image is also imported to a pico-projector (Texas Instrument Inc.) for the attempt of back-projection onto the patient's hand. In overall, the experimental results are capable of distinguishing the differences in the contrast and brightness between the veins and the surrounding tissues on the wrists of the samples. It is anticipated that, with further investigation and experiments, a verification method for accurate and real-time projection of the enhanced imaged onto the human skin can be developed.
机译:静脉穿刺的过程是获得静脉注射静脉治疗或静脉血液采样的静脉注射进入的必要性。因此,静脉发现系统是一种有效的解决方案,不仅是使静脉穿刺安全和准确,而且还可以减少患者的焦虑和压力,提高捐赠舒适性和效率。静脉可视化技术利用非侵入式红外技术在捕获患者皮肤上的实时静脉图像并使其观察到。在由该系统执行的过程中,样品的皮肤暴露于从850nm 12 W 6-LED阵列传输的近红外(NIR)光。在此之后,与Noir相机板连接的覆盆子PI 3型号B用于捕获NTR照明皮肤区域的图像采集设备。接下来,将在显示器上显示到计算机之前,将原始数据传送到计算机以执行过滤和处理技术。该系统被审查了24名志愿者,具有各种年龄和性别群体。输出静脉图像也被导入到Pico-Projector(Texas Instrument Inc.)以试图在患者的手上进行后投影。总的来说,实验结果能够区分静脉和周围组织之间的对比度和亮度的差异在样品的手腕上。预计,通过进一步的调查和实验,可以开发用于准确和实时投影的验证方法,可以开发对人体皮肤上的增强成像。

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