Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145921
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dc.contributor.authorXu, Gaoweien_US
dc.contributor.authorLan, Yishaen_US
dc.contributor.authorZhou, Wenen_US
dc.contributor.authorHuang, Chenxien_US
dc.contributor.authorLi, Weibinen_US
dc.contributor.authorZhang, Weien_US
dc.contributor.authorZhang, Guokaien_US
dc.contributor.authorNg, Eddie Yin Kweeen_US
dc.contributor.authorCheng, Yongqiangen_US
dc.contributor.authorPeng, Yonghongen_US
dc.contributor.authorChe, Wenliangen_US
dc.date.accessioned2021-01-14T06:01:52Z-
dc.date.available2021-01-14T06:01:52Z-
dc.date.issued2019-
dc.identifier.citationXu, G., Lan, Y., Zhou, W., Huang, C., Li, W., Zhang, W., . . . Che, W. (2019). An IoT-based framework of Webvr visualization for medical big data in connected health. IEEE Access, 7, 173866-173874. doi:10.1109/ACCESS.2019.2957149en_US
dc.identifier.issn2169-3536en_US
dc.identifier.other0000-0003-3752-7749-
dc.identifier.other0000-0002-5508-1819-
dc.identifier.other0000-0002-8840-5437-
dc.identifier.other0000-0003-4675-4767-
dc.identifier.other0000-0002-1266-1864-
dc.identifier.other0000-0002-2100-0259-
dc.identifier.other0000-0002-9370-3594-
dc.identifier.other0000-0002-5430-2405-
dc.identifier.other0000-0002-0952-8325-
dc.identifier.other0000-0002-5701-1080-
dc.identifier.other0000-0001-7282-7638-
dc.identifier.urihttps://hdl.handle.net/10356/145921-
dc.description.abstractRecently, 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.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Accessen_US
dc.rights© 2019 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleAn IoT-based framework of Webvr visualization for medical big data in connected healthen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.identifier.doi10.1109/ACCESS.2019.2957149-
dc.description.versionPublished versionen_US
dc.identifier.scopus2-s2.0-85078339005-
dc.identifier.volume7en_US
dc.identifier.spage173866en_US
dc.identifier.epage173874en_US
dc.subject.keywordsInternet of Thingen_US
dc.subject.keywordsTelemedicineen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
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