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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Clarke, A. Steele, R. |
| Copyright Year | 2014 |
| Description | Author affiliation: Fac. of Health Sci., Univ. of Sydney, Sydney, NSW, Australia (Clarke, A.) || Sch. of Eng. & Technol., CQ Univ., Sydney, NSW, Australia (Steele, R.) |
| Abstract | Public health interventions comprising information dissemination to affect behavioral adjustment have long been a significant component of public health campaigns. However, there has been limited development of public health intervention systems to make use of advances in mobile computing and telecommunications technologies. Such developments pose significant challenges to privacy and security where potentially sensitive data may be collected. In our previous work we identified and demonstrated the feasibility of using mobile devices as anonymous public health data collection devices as part of a Health Participatory Sensing Network (HPSN). An advanced capability of these networks extended in this paper would be the ability to distribute, apply, report on and analyze the usage and effectiveness of targeted public health interventions in an anonymous way. In this paper we describe such a platform, its place in the HPSN and demonstrate its feasibility through an implementation. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 3678 |
| Ending Page | 3682 |
| File Size | 1215965 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424479290 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2014.6944421 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Public healthcare Sensors Data collection Data privacy Servers Privacy Conferences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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