Special Issue "e-Health Pervasive Wireless Applications and Services (e-HPWAS'17)"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (15 January 2018)

Special Issue Editors

Guest Editor
Dr. Tayeb Lemlouma

IRISA Lab, University of Rennes I, Rennes, France
Website | E-Mail
Interests: context-awareness; pervasive & ubiquitous computing; IoT; e-Health; smart and media services in heterogeneous environments; smart content delivery; content-centric
Guest Editor
Dr. Abderrezak Rachedi

LIGM Lab, University of Paris-Est Marne la Vallée,77420 Champs-sur-Marne, France
Website | E-Mail
Interests: wireless sensor networks (WSN); vehicular networks; IoT; multihop cellular networks (MCN)
Guest Editor
Dr. Sébastien Laborie

LIUPPA Lab, University of Pau, 64012 Pau, France
Website | E-Mail
Interests: multimedia documents and applications; adaptation and user profiling; semantic web
Guest Editor
Dr. António Santos

Fraunhofer Portugal AICOS, Porto, Portugal
E-Mail
Interests: ambient assisted living; e-Health; embedded systems; mobile technologies; activity monitoring; data mining/machine learning; signal processing
Guest Editor
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

Special Issue Information

Dear Colleagues,

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
Guest Editors

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.

Keywords

  • E-Health
  • 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

Published Papers (2 papers)

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Research

Open AccessArticle An Ensemble of Condition Based Classifiers for Device Independent Detailed Human Activity Recognition Using Smartphones
Information 2018, 9(4), 94; https://doi.org/10.3390/info9040094
Received: 25 January 2018 / Revised: 11 April 2018 / Accepted: 12 April 2018 / Published: 16 April 2018
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Abstract
Human activity recognition is increasingly used for medical, surveillance and entertainment applications. For better monitoring, these applications require identification of detailed activity like sitting on chair/floor, brisk/slow walking, running, etc. This paper proposes a ubiquitous solution to detailed activity recognition through the
[...] Read more.
Human activity recognition is increasingly used for medical, surveillance and entertainment applications. For better monitoring, these applications require identification of detailed activity like sitting on chair/floor, brisk/slow walking, running, etc. This paper proposes a ubiquitous solution to detailed activity recognition through the use of smartphone sensors. Use of smartphones for activity recognition poses challenges such as device independence and various usage behavior in terms of where the smartphone is kept. Only a few works address one or more of these challenges. Consequently, in this paper, we present a detailed activity recognition framework for identifying both static and dynamic activities addressing the above-mentioned challenges. The framework supports cases where (i) dataset contains data from accelerometer; and the (ii) dataset contains data from both accelerometer and gyroscope sensor of smartphones. The framework forms an ensemble of the condition based classifiers to address the variance due to different hardware configuration and usage behavior in terms of where the smartphone is kept (right pants pocket, shirt pockets or right hand). The framework is implemented and tested on real data set collected from 10 users with five different device configurations. It is observed that, with our proposed approach, 94% recognition accuracy can be achieved. Full article
(This article belongs to the Special Issue e-Health Pervasive Wireless Applications and Services (e-HPWAS'17))
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Open AccessArticle A Blockchain Approach Applied to a Teledermatology Platform in the Sardinian Region (Italy)
Information 2018, 9(2), 44; https://doi.org/10.3390/info9020044
Received: 15 January 2018 / Revised: 15 February 2018 / Accepted: 19 February 2018 / Published: 23 February 2018
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Abstract
The use of teledermatology in primary care has been shown to be reliable, offering the possibility of improving access to dermatological care by using telecommunication technologies to connect several medical centers and enable the exchange of information about skin conditions over long distances.
[...] Read more.
The use of teledermatology in primary care has been shown to be reliable, offering the possibility of improving access to dermatological care by using telecommunication technologies to connect several medical centers and enable the exchange of information about skin conditions over long distances. This paper describes the main points of a teledermatology project that we have implemented to promote and facilitate the diagnosis of skin diseases and improve the quality of care for rural and remote areas. Moreover, we present a blockchain-based approach which aims to add new functionalities to an innovative teledermatology platform which we developed and tested in the Sardinian Region (Italy). These functionalities include giving the patient complete access to his/her medical records while maintaining security. Finally, the advantages that this new decentralized system can provide for patients and specialists are presented. Full article
(This article belongs to the Special Issue e-Health Pervasive Wireless Applications and Services (e-HPWAS'17))
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