Abstract
Venipuncture is the process of puncturing the vein to withdraw blood or to carry out an intravenous injection. It requires high level of expertise to achieve high rates of accuracy. In traditional ways, success depends heavily on the experience of the practitioner. Consequently, venipuncture has been reported as one of the leading causes of injury to patients. The estimation of failure ranges from 20 to 33% overall. Specifically in populations, which include children, obese and old people it ranges from 47 to 70%. To improve first stick accuracy, we propose a system which will help identify the suitable subcutaneous veins. With the help of near-infrared radiation (NIR), images are been captured. The captured images are processed to identify the veins. These identified veins can be further used by practitioner to carry out further analysis. These processed images of veins can be further projected directly on the limb.
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Acknowledgements
We are grateful to Centre of Excellence in Image and Signal Processing of Electronics and Telecommunication Department, College of Engineering, Pune (COEP), for their support.
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Mhaske, A., Doshi, S., Chopade, P., Vyas, V. (2019). Vein Detection System Using Quad-Core ARM Processor and Near-Infrared Light. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_67
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DOI: https://doi.org/10.1007/978-981-13-3393-4_67
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