Paper Info
Title
An Iot-Based Framework Of Webvr Visualization For Medical Big Data In Connected Health
Abstract
Recently, telemedicine has been widely applied in remote diagnosis, treatment and counseling, where the Internet of Things (IoT) technology plays an important role. In the process of telemedicine, data are collected from remote medical equipment, such as CT machine and MRI machine, and then transmitted and reconstructed locally in three-dimensions. Due to the large amount of data to be transmitted in the reconstructed model and the small storage capacity, data need to be compressed progressively before transmission. On this basis, we proposed a lightweight progressive transmission algorithm based on large data visualization in telemedicine to improve transmission efficiency and achieve lossless transmission of original data. Moreover, a novel four-layer system architecture based on IoT has been introduced, including the sensing layer, analysis layer, network layer and application layer. In this way, the three-dimensional reconstructed data at the local end is compressed and transmitted to the remote end, and then visualized at the remote end to show reconstructed 3D models. Thus, it is conducive to doctors in remote real-time diagnosis and treatment, and then realize the data processing and transmission between doctors, patients and medical equipment.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2957149
IEEE ACCESS
Keywords
DocType
Volume
Internet of Thing (IoT), telemedicine, lightweight progressive transmission, medical big data, visualization
Journal
7
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
11
Name
Order
Citations
PageRank
Gaowei Xu1133.02
Yonghong Peng240033.39
Wenliang Che342.38
Yisha Lan431.71
Wen Zhou500.34
Chenxi Huang611.36
Weibin Li700.34
Wei Zhang800.34
Guokai Zhang900.34
E. Y. K. Ng1038440.34
Yongqiang Cheng1113329.99