IJAHUC-LPHA 2014 : International Journal of Ad Hoc and Ubiquitous Computing Special Issue on Localisation and Positioning for Healthcare Applications
Тези до: 01.07.2014
Дати: 25.01.15 — 25.01.15
Address: Inderscience Publishers Editorial Office P.O. Box 735 Olney, Bucks MK46 5WB UK
Е-мейл Оргкомітету: firstname.lastname@example.org
Організатори: West Virginia University Institute of Technology and West Virginia Center of Excellence for Cyber-Physical Systems
International Journal of Ad Hoc and Ubiquitous Computing
Special Issue on: "Localisation and Positioning for Healthcare Applications"
Accurate localisation and positioning are becoming increasingly important for a wide range of applications including healthcare applications. Conventional localisation techniques are not suitable for healthcare due to the mobility and dynamics of patients. In addition, these techniques do not provide immediate, secure and accurate positioning information of patients in life-critical situations.
There is an urgent need to develop novel localisation and positioning techniques for healthcare applications, which must be able to accurately locate patients during abnormal circumstances. For example, these novel techniques may be able to interact with body area networks in order to locate patients who are expecting a heart attack.
Also, recent advances in cloud computing, including cloud storage, cloud database, and cloud collaboration, offer tremendous opportunities for patient localisation. By leveraging the opportunities and advantages offered by cloud computing, cloud-assisted localisation has the potential to revolutionise localisation and promises a new era of localisation in healthcare applications.
This special issue invites present research and review articles in order to promote research activities on localisation and positioning for healthcare applications. Original analytical, experimental and systems-related papers on the theme will be considered.
Topics include but are not limited to:
Cloud-assisted data processing, mining and fusion for patient localisation
Mobile cloud computing for patient localisation
Social network-based localisation of patients
Network architectures and protocols for patient localisation
Intelligent medical devices and sensors for localisation
Hardware and software of localisation for healthcare (RFID, IMU, smartphones, etc.)
Simulations and test-bed implementations
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our information on preparing and submitting articles.
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