Data Capture from Medical Device using Augmented Reality
Manimala.G1, Kavitha.V2, Abinaya.V3, Nisha G.Mathur4
1Manimala.G, Department of CSE, Sri Sai Ram Engineering College, Chennai (Tamil Nadu), India.
2Kavitha.V, Department of CSE, Sri Sai Ram Engineering College, Chennai (Tamil Nadu), India.
3Abinaya.V, Department of CSE, Sri Sai Ram Engineering College, Chennai (Tamil Nadu), India.
4Nisha.G.Mathur, Department of CSE, Sri Sai Ram Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 26 November 2019 | Revised Manuscript received on 08 December 2019 | Manuscript Published on 14 December 2019 | PP: 213-217 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10381091S19/19©BEIESP | DOI: 10.35940/ijeat.A1038.1091S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In order to develop medical devices that connect to hand held devices via Bluetooth or USB, a new approach is followed by using Augmented Reality (AR) and machine vision which is utilized to identify digitally a biomedical device and capture reading using Augmented Reality to create 3D imaging of tumors and human organs accurately. By superimposing anatomic structures segmented from tomography images (e.g., CT, MR) on the intraoperative video images. It is integrated with EMR’s, clinical information feeds and medical imaging systems to support clinical decision making through a combined AR view. The output will be in the form of labels; 3D rendered models, or shaded modifications. It uses everyday technology – computers, tablets or smart phones with cameras can be used to connect surgeons in real time, anywhere in the world.AR can be used to capture medical device information on a mobile device and can automate the data collection tasks by health workers in all the developing countries.
Keywords: Augmented Reality, Electronic Medical Record (EMR),3D Imaging.
Scope of the Article: Data Base Management System