Abstract
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 NIR 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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Marathe, M., et al.: A novel wireless vein finder. In: International Conference on Circuits, Communication, Control and Computing (2014)
Vo-Dinh, T.: Biomedical Photonics Handbook: Fundamentals, Devices, and Techniques. CRC Press Inc, Boca Raton, FL (2014)
Median Filter, fourier.eng.hmc.edu/e161/lectures/smooth_sharpen/node2.html
Sureshkumar, V., Elizabeth Kurien, S., Sunny, S., James, S., Lakshmy, S.: Electronic vein finder. Int. J. Adv. Res. Comput. Commun. Eng. 4(10) (Oct, 2015)
DLPC3430, DLPC3435, DLPC3433, and DLPC 3438 Software Programmer’s Guide. DLPDLCR2010EVM DLP LightCrafter™ Display 2010 Evaluation Module | TI.Com
Dai, X., et al.: A fast vein display device based on the camera-projector system. In: 2013 IEEE International Conference on Imaging Systems and Techniques (IST), pp. 146–149 (2013)
Sukthankar, R., Stockton, R.G., Mullin, M.D.: Smarter presentations: exploiting homography in camera-projector systems. In: Eighth IEEE International Conference on Computer Vision, 2001. ICCV 2001. Proceedings, vol. 1. IEEE, New York (2001)
Acknowledgements
This research is funded by International University—VNUHCM under grant number T2017-01- BME.
Conflict of Interest
The authors declare that they have no conflict of interest.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tran, L.T., Pham, H.TT. (2020). Designing and Building the Vein Finder System Utilizing Near-Infrared Technique. In: Van Toi , V., Le, T., Ngo, H., Nguyen, TH. (eds) 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7). BME 2018. IFMBE Proceedings, vol 69. Springer, Singapore. https://doi.org/10.1007/978-981-13-5859-3_68
Download citation
DOI: https://doi.org/10.1007/978-981-13-5859-3_68
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-5858-6
Online ISBN: 978-981-13-5859-3
eBook Packages: EngineeringEngineering (R0)