Title :
HCloud: A novel application-oriented cloud platform for preventive healthcare
Author :
Xiaomao Fan ; Chenguang He ; Yunpeng Cai ; Ye Li
Author_Institution :
Shenzhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
As an emerging state-of-the-art technology, cloud computing has been applied to an extensive range of real life situations. Healthcare is one of such important application fields. We developed a healthcare system, named HCloud, after comprehensive analysis of requirements of healthcare, which based on cloud platform with characteristics of loose coupling algorithms modules and powerful parallel computing capabilities to compute the detail of these indicators for the purpose of preventive healthcare service. The proposed system can support huge physiological data storage and process heterogeneous data for various health care applications such as automated electrocardiogram (ECG) analysis, providing an early warning mechanism for users with chronic disease. The architecture of the cloud platform for physiological data storage, computing, data mining, and feature selections are described. Performance evaluations based on testing has demonstrated the effectiveness and usability of the system.
Keywords :
cloud computing; data mining; health care; medical computing; parallel processing; ECG analysis; HCloud; application-oriented cloud platform; automated electrocardiogram analysis; chronic disease; cloud computing; data mining; early warning mechanism; feature selections; heterogeneous data processing; loose coupling algorithms modules; parallel computing capability; physiological data storage; preventive healthcare service; Biomedical monitoring; Cloud computing; Data mining; Electrocardiography; Indexes; Medical services; Servers; could computing; data mining; heterogeneous data process; preventive healthcare;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-4511-8
Electronic_ISBN :
978-1-4673-4509-5
DOI :
10.1109/CloudCom.2012.6427482