论文信息 - A Modern, IoT Platform for Medical Engineering: Vein Visualization

A Modern, IoT Platform for Medical Engineering: Vein Visualization

A modern, IoT platform for medical engineering is presented with a case of vein visualization. We consider a low-cost, yet effective and efficient platform such as Raspberry Pi for this purpose. This paper presents the system structure, its specification, and a observational result (i.e. a comperison among pictures) with some conventional devices and open sourse technologies such as the LED module, the CCD camera, and OpenCV.

[1] A. Gayle,et al. Does infrared visualization improve selection of venipuncture sites for indwelling needle at the forearm in second-year nursing students? , 2016, Nurse education in practice.

[2] Andreas Holzinger,et al. Towards a Low-Cost Mobile Subcutaneous Vein Detection Solution Using Near-Infrared Spectroscopy , 2014, TheScientificWorldJournal.

[3] Holly A Hess. A biomedical device to improve pediatric vascular access success. , 2010, Pediatric Nursing.

[4] Po Yang,et al. Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record Enrichment , 2018, IEEE Access.

[5] Lida Xu,et al. The internet of things: a survey , 2014, Information Systems Frontiers.

[6] K Phipps,et al. A randomized trial of the Vein Viewer versus standard technique for placement of peripherally inserted central catheters (PICCs) in neonates , 2012, Journal of Perinatology.

[7] Jonghyuk Kim,et al. Sensor-Based Optimization Model for Air Quality Improvement in Home IoT , 2018, Sensors.