Abstract
This paper proposes an idea that utilizes near-infrared (NIR) imaging technique and embedded system to construct a low-cost device for detecting and visualizing veins of patients, who have problems with vein visibility, directly on the skin. The use of NIR light has received a considerable attention as it is non-invasive and can reveal much more information than visible one. By convention, biological materials of blood (hemoglobin, etc.) has larger attenuation coefficient than those of the skin (collagen, melanin, etc.), especially in the NIR region. Accordingly, vein patterns would appear darker, whereas skin would appear lighter. The embedded system then captures image of the interest area and conducts image processing in order to enhance contrast between veins and the surroundings. The experimental results show that, even in a preliminary implementation, images of vein pattern and location obtained by using the device exhibit promising consistency, accuracy and time-performance. It is anticipated that, with further investigation and optimization, the proposed system can develop and construct 3D depth image of veins.
Access provided by CONRICYT-eBooks. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Ogden-Grable H, Gill GW (2005) Phlebotomy puncture juncture preventing phlebotomy errors—potential for harming your patients. Lab Med 36(7):430–433
Frey A (1998) Success rates for peripheral iv insertion in a children’s hospital. Financial implications. J Intravenous Nurs Off Publ Intravenous Nurs Soc 21(3):160
Atalay H et al (2005) The use of transillumination for peripheral venous access in paediatric anaesthesia. Eur J Anaesthesiol 22(04):317–318
de Caen A (2007) Venous access in the critically ill child: when the peripheral intravenous fails! Pediatr Emerg Care 23(6):422–424
Lin X, Zhuang B, Su X (2003) Measurement and matching of human vein pattern characteristics. J Tsinghua Univ 43(2):164–167
Zhang J-Y, Sun M-H (2007) Study on algorithm for skeleton features extraction of hand vein image. J Comput Appl 27(1):152–154 (Jisuanji Yingyong)
Wang K et al (2006) Hand vein recognition based on multi supplemental features of multi-classifier fusion decision. In: Proceedings of the IEEE international conference on mechatronics and automation
Li W, Yuan W (2011) Imaging quality analysis on palm vein under different wavelengths near-IR. Comput Eng Appl 47(30):15–18 (Jisuanji Gongcheng yu Yingyong)
Zharov VP et al (2004) Infrared imaging of subcutaneous veins. Lasers Surg Med 34(1):56–61
Acknowledgements
The authors gratefully acknowledge the financial support provided to this study by Vietnam National Universities—HCMC. Moreover, the devices of this work has been supported by grant No. 1161/QĐ-ĐHQG-KHCN of Vietnam National Universities-HCM City.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nguyen, K.HD., Nguyen, A.LT., Pham, H.TT. (2018). Constructing Real Time Vein Imaging Device Utilizing Near Infrared Technology and Embedded System. In: Vo Van, T., Nguyen Le, T., Nguyen Duc, T. (eds) 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) . BME 2017. IFMBE Proceedings, vol 63. Springer, Singapore. https://doi.org/10.1007/978-981-10-4361-1_95
Download citation
DOI: https://doi.org/10.1007/978-981-10-4361-1_95
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4360-4
Online ISBN: 978-981-10-4361-1
eBook Packages: EngineeringEngineering (R0)