Special Issue "e-Health Pervasive Wireless Applications and Services (e-HPWAS'17)"
Deadline for manuscript submissions: closed (15 January 2018)
Dr. António Santos
Fraunhofer Portugal AICOS, Porto, Portugal
Interests: ambient assisted living; e-Health; embedded systems; mobile technologies; activity monitoring; data mining/machine learning; signal processing
Prof. Athanasios V. Vasilakos
Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Skellefteå, Sweden
Website | E-Mail
Interests: security&privacy; cryptography; economics of cybersecurity; cryptocurrency protocols; networks; IoTs; complex networks; cloud computing; big data; machine learning; biocomputing
e-HPWAS'17 targets providing optimal, secured and context aware e-health systems with the best quality of services (QoS) and user’s experience (QoE). Applications and services are considered in wireless environments and architecture with the use of IoT (Internet of Things), big data analysis and a strong heterogeneity of access technologies, sensors, terminals, users’ needs, and services (data, content, live streams or complex network services).
Emerging e-health services and applications can involve the use of “heavy” content such as multimedia content and streams (e.g. 3D-TV, media conferencing, remote live diagnostics) using conventional e-health devices but also using terminals like smart TV sets, home-boxes, smartphones, tablets, and new Things. The main topics of e-HPWAS are related to e-Health care and safety services provided for patients, elderly and dependent persons. These services are generally built using different communication technologies, for different profiles of people and in different contexts and places (e.g. in health institutions, at home, in the city). Provided services should, ideally, be accessible anytime, anywhere and using any kind of device or platform.
Authors of the IEEE e-HPWAS'17 are encouraged to submit an extended version of their work to this Special Issue of the journal Information with a minimum of 50% of new content and input. Papers describing advanced prototypes, platforms, techniques and general survey for discussing future perspectives and directions are encouraged. Each manuscript will be blind reviewed by academic editors.
Dr. Tayeb Lemlouma
Dr. Abderrezak Rachedi
Dr. Sébastien Laborie
Dr. António Santos
Prof. Athanasios Vasilakos
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Internet of Things (IoT)
- Big Data analysis, summarization, prediction
- Sensor networks (e.g. BAN, WPAN, etc.)
- Network interoperability
- Security and privacy
- User acceptance
- Norms for e-health (e.g. HL7 norms, electronic health information exchange-HIE, Health Record-HER)
- Web norms for e-health (e.g. WebRTC)
- Context Models