The Intelligent Healthcare Data Management System Using Nanosensors-Reference-Cited by-同舟云学术

The Intelligent Healthcare Data Management System Using Nanosensors

Published:2017 Issue: Volume:2017 Page:1-9
ISSN:1687-725X
Container-title:Journal of Sensors
language:en
Short-container-title:Journal of Sensors

Author:

Dorj Ulzii-Orshikh¹,Lee Malrey¹^ORCID,Choi Jae-young²^ORCID,Lee Young-Keun³^ORCID,Jeong Gisung⁴^ORCID

Affiliation:

1. Center for Advanced Image and Information Technology, School of Electronics & Information Engineering, Chonbuk National University, 664-14, 1Ga, DeokJin-Dong, Jeonju City, Chonbuk 561-756, Republic of Korea

2. Department of Computer Engineering, Sungkyunkwan University, Seoul City, Republic of Korea

3. Department of Orthopedic Surgery, Research Institute of Clinical Medicine of Chonbuk National University, Biomedical Research Institute of Chonbuk National University Hospital 20, Geonji-ro, Jeonju 54907, Republic of Korea

4. Department of Fire Service Administration, Wonkwang University, Iksan City, Republic of Korea

Abstract

We developed a design of Intelligent Healthcare Data Management System using nanosensors (IHDMS) and composed an application for mobile device. The proposed IHDMS will coordinate the healthcare data of the patients from nanosensors and transforms it into a worldwide consumed standard HL7 (Health Level Seven) for conversion of healthcare data. This converted data dispatches to a server of its system. The battery lifetime of the facility is feasible to increase, the memory usage is less than 100 KB, and it operates all data by employing few and far between resources. Moreover, the proposed system decreases the waiting time in the transposing data, and secured channel was used for the server of the healthcare center in the running HL7 format data.

Funder

Ministry of Science, ICT and Future Planning

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Link

http://downloads.hindawi.com/journals/js/2017/7483075.pdf

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