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The Scientific World Journal
Volume 2014 (2014), Article ID 365902, 15 pages
http://dx.doi.org/10.1155/2014/365902
Review Article

Towards a Low-Cost Mobile Subcutaneous Vein Detection Solution Using Near-Infrared Spectroscopy

1Advanced ICT Research Group (AIRG), Farmadent Pharm., 2000 Maribor, Slovenia
2Laboratory of Geometric Modelling and Multimedia Algorithms, Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia
3Department of Vascular Surgery, University Medical Centre Maribor, 2000 Maribor, Slovenia
4Institute for Media Communication, Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia
5Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Auenbruggerplatz 2, 8036 Graz, Austria
6Institute of Information Systems and Computer Media, Graz University of Technology, Inffeldgasse 16c, 8010 Graz, Austria

Received 26 March 2014; Accepted 11 April 2014; Published 30 April 2014

Academic Editor: Uwe Wollina

Copyright © 2014 Simon Juric et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • Simon Juric, and Borut Zalik, “An innovative approach to near-infrared spectroscopy using a standard mobile device and its clinical application in the real-time visualization of peripheral veins,” BMC Medical Informatics and Decision Making, vol. 14, no. 1, 2014. View at Publisher · View at Google Scholar
  • Max L. Balter, Alvin I. Chen, Timothy J. Maguire, and Martin L. Yarmush, “The System Design and Evaluation of a 7-DOF Image-Guided Venipuncture Robot,” Ieee Transactions On Robotics, vol. 31, no. 4, pp. 1044–1053, 2015. View at Publisher · View at Google Scholar
  • Keiko Fukuroku, Yugo Narita, Yukari Taneda, Shinji Kobayashi, and Alberto Gayle, “Does infrared visualization improve selection of venipuncture sites for indwelling needle at the forearm in second-year nursing students?,” Nurse Education in Practice, 2016. View at Publisher · View at Google Scholar
  • Roemi Fernández, and Manuel Armada, “Multisensory System for the Detection and Localization of Peripheral Subcutaneous Veins,” Sensors, vol. 17, no. 4, pp. 897, 2017. View at Publisher · View at Google Scholar
  • Donghoon Kim, Yujin Kim, Siyeop Yoon, and Deukhee Lee, “Preliminary Study for Designing a Novel Vein-Visualizing Device,” Sensors, vol. 17, no. 2, pp. 304, 2017. View at Publisher · View at Google Scholar
  • Max L. Balter, Alvin I. Chen, Timothy J. Maguire, and Martin L. Yarmush, “Adaptive Kinematic Control of a Robotic Venipuncture Device Based on Stereo Vision, Ultrasound, and Force Guidance,” IEEE Transactions on Industrial Electronics, vol. 64, no. 2, pp. 1626–1635, 2017. View at Publisher · View at Google Scholar
  • Hyun-Chul Shon, Ji-Kang Park, Sang-Woo Kang, and Jae-Young Yang, “Necrosis of the thumb after inadvertent injection of diclofenac in the radial artery: A case report,” Journal of Pain Research, vol. 10, pp. 2803–2806, 2017. View at Publisher · View at Google Scholar
  • Bogdan Dugonik, A Dugonik, D Horvat, B Žalik, and D Špelič, “e-Derma - a Novel Wireless Dermatoscopy System.,” Journal of medical systems, vol. 41, no. 12, pp. 205, 2017. View at Publisher · View at Google Scholar