Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | en_US |
| dc.contributor.advisor | You, Jane (COMP) | - |
| dc.creator | Hu, Siwei | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/8182 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | A mobile solution for diabetic retinopathy screening based on cloud computing | en_US |
| dcterms.abstract | Worldwide, great efforts are made to improve the quality of mobile health in health monitoring and caring areas. Mobile health offers a unique opportunity for patients to complete self-diagnosing, receiving personalized supports, sharing and communicating with other patients or family members. However, due to limited computation ability, cellphones are hard to handle the screening task that requires great amount of processing work. The fact makes mobile health less powerful when providing processing-intensive electronic health care like eye disease screening. In order to improve the ability of mobile heath for data processing, cloud computing is adopted as a way of assistance. In this way, the Mobile Cloud Computing (MCC) system can be built. MMC migrates computation modules to the server that supported by more hardware and software resources so that to complete screening tasks in a tolerated time frame. This paper provides the design and implementation of a mobile solution for eyes disease monitoring based on cloud computing, to conduct screening work that require much computation power to process images of retina. The implemented components includes mobile side and server side. On mobile side, an application running on IOS platform is developed to interact with user. The implemented modules mainly include database management, networking communication and user interface. On server side, a Web server that communicates with mobile device is constructed. The major implemented modules include data synchronizing, multi-account management, asynchronous execution and data storage. | en_US |
| dcterms.extent | viii, 81 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2015 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Telecommunication in medicine. | en_US |
| dcterms.LCSH | Diabetic retinopathy -- Diagnosis. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b28252019.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.43 MB | Adobe PDF | View/Open |
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