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Sensors 2017, 17(4), 897; doi:10.3390/s17040897

Multisensory System for the Detection and Localization of Peripheral Subcutaneous Veins

Centre for Automation and Robotics (CAR) CSIC-UPM, Carretera de Campo Real, Km. 0,200. La Poveda, Arganda del Rey, 28500 Madrid, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 13 March 2017 / Revised: 16 April 2017 / Accepted: 17 April 2017 / Published: 19 April 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2017)
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Abstract

This paper proposes a multisensory system for the detection and localization of peripheral subcutaneous veins, as a first step for achieving automatic robotic insertion of catheters in the near future. The multisensory system is based on the combination of a SWIR (Short-Wave Infrared) camera, a TOF (Time-Of-Flight) camera and a NIR (Near Infrared) lighting source. The associated algorithm consists of two main parts: one devoted to the features extraction from the SWIR image, and another envisaged for the registration of the range data provided by the TOF camera, with the SWIR image and the results of the peripheral veins detection. In this way, the detected subcutaneous veins are mapped onto the 3D reconstructed surface, providing a full representation of the region of interest for the automatic catheter insertion. Several experimental tests were carried out in order to evaluate the capabilities of the presented approach. Preliminary results demonstrate the feasibility of the proposed design and highlight the potential benefits of the solution. View Full-Text
Keywords: SWIR camera; TOF camera; peripheral vein detection; subcutaneous vein localization; automatic catheter insertion SWIR camera; TOF camera; peripheral vein detection; subcutaneous vein localization; automatic catheter insertion
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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. (CC BY 4.0).

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Fernández, R.; Armada, M. Multisensory System for the Detection and Localization of Peripheral Subcutaneous Veins. Sensors 2017, 17, 897.

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