Special Issue "e-Health Pervasive Wireless Applications and Services (e-HPWAS'19)"

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

Deadline for manuscript submissions: closed (30 May 2020).

Special Issue Editors

Dr. Tayeb Lemlouma
E-Mail Website
Guest Editor
IRISA Lab, University of Rennes I, 35000 Rennes, France
Interests: context awareness; pervasive and ubiquitous computing; IoT; e-Health; smart and media services in heterogeneous environments; smart content delivery; content-centric
Special Issues and Collections in MDPI journals
Prof. Dr. Abderrezak Rachedi
E-Mail Website
Guest Editor
LIGM Lab. (UMR8049), University Gustave Eiffel (UGE), 77454 Marne-la-Vallée, France
Interests: wireless networking; internet of things (IoT); wireless sensor networks (WSN); vehicular networks; internet of vehicles (IoV); 5G; 6G; security & privacy; quality of services; performance evaluation
Special Issues and Collections in MDPI journals
Dr. Sébastien Laborie
E-Mail Website
Guest Editor
LIUPPA Lab, University of Pau, 64012 Pau, France
Interests: multimedia documents and applications; adaptation and user profiling; semantic web
Special Issues and Collections in MDPI journals
Dr. Yevgeniya Kovalchuk
E-Mail Website
Guest Editor
School of Computing and Digital Technology, Birmingham City University, Birmingham B5 5JU, UK
Interests: artificial intelligence; machine learning; software engineering; embedded systems; software–hardware integration; sensors and wearables; cyber security; mutli-agent systems; healthcare informatics; movement science and movement and art therapy
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

e-HPWAS'19 aims at providing optimal, secure, and context-aware e-health systems with the best quality of services (QoS) and user experience (QoE). Applications and services are implemented 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 analyzers, 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, or 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, the elderly, and dependent persons. These services are generally built using different communication technologies, for different profiles of people in different contexts and places (e.g., in health institutions, at home, in cities). The provided services should ideally be accessible anytime, anywhere, and using any kind of device or platform.

Authors of the IEEE eHPWAS 2019 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 surveys for discussing future perspectives and directions are particularly encouraged. Each manuscript will be blind-reviewed by academic editors.

Dr. Tayeb Lemlouma
Dr. Abderrezak Rachedi
Dr. Sébastien Laborie
Dr. Yevgeniya Kovalchuk
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 1400 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
  • E-Health, artificial intelligence, and machine learning techniques

Published Papers (3 papers)

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Research

Open AccessArticle
My-AHA: Software Platform to Promote Active and Healthy Ageing
Information 2020, 11(9), 438; https://doi.org/10.3390/info11090438 - 11 Sep 2020
Cited by 1 | Viewed by 1187
Abstract
The population is getting old, and the use of technology has improved the quality of life of the senior population. This is confirmed by the increasing number of solutions targeting healthy and active ageing. Such solutions keep track of the daily routine of [...] Read more.
The population is getting old, and the use of technology has improved the quality of life of the senior population. This is confirmed by the increasing number of solutions targeting healthy and active ageing. Such solutions keep track of the daily routine of the elderly and combine it with other relevant information (e.g., biosignals, physical activity, social activity, nutrition) to help identify early signs of decline. Caregivers and elders use this information to improve their routine, focusing on improving the current condition. With that in mind, we have developed a software platform to support My-AHA, which is composed of a multi-platform middleware, a decision support system (DSS), and a dashboard. The middleware seamlessly merges data coming from multiple platforms targeting health and active ageing, the DSS performs an intelligent computation on top of the collected data, and the dashboard provides a user’s interaction with the whole system. To show the potential of the proposed My-AHA software platform, we introduce the My Personal Dashboard web-based application over a frailty use case to illustrate how senior well-being can benefit from the use of technology. Full article
(This article belongs to the Special Issue e-Health Pervasive Wireless Applications and Services (e-HPWAS'19))
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Open AccessArticle
Personality Traits, Gamification and Features to Develop an App to Reduce Physical Inactivity
Information 2020, 11(7), 367; https://doi.org/10.3390/info11070367 - 19 Jul 2020
Cited by 1 | Viewed by 1329
Abstract
Background: Health benefits from physical activity (PA) can be achieved by following the WHO recommendation for PA. To increase PA in inactive individuals, digital interventions can provide cost-effective and low-threshold access. Moreover, gamification elements can raise the motivation for PA. This study analyzed [...] Read more.
Background: Health benefits from physical activity (PA) can be achieved by following the WHO recommendation for PA. To increase PA in inactive individuals, digital interventions can provide cost-effective and low-threshold access. Moreover, gamification elements can raise the motivation for PA. This study analyzed which factors (personality traits, app features, gamification) are relevant to increasing PA within this target group. Methods: N = 808 inactive participants (f = 480; m = 321; age = 48 ± 6) were integrated into the analysis of the desire for PA, the appearance of personality traits and resulting interest in app features and gamification. The statistical analysis included chi-squared tests, one-way ANOVA and regression analysis. Results: The main interests in PA were fitness (97%) and outdoor activities (75%). No significant interaction between personality traits, interest in PA goals, app features and gamification were found. The interest in gamification was determined by the PA goal. Participants’ requirements for features included feedback and suggestions for activities. Monetary incentives were reported as relevant gamification aspects. Conclusion: Inactive people can be reached by outdoor activities, interventions to increase an active lifestyle, fitness and health sports. The study highlighted the interest in specific app features and gamification to increase PA in inactive people through an app. Full article
(This article belongs to the Special Issue e-Health Pervasive Wireless Applications and Services (e-HPWAS'19))
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Open AccessArticle
Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow
Information 2020, 11(7), 356; https://doi.org/10.3390/info11070356 - 08 Jul 2020
Cited by 1 | Viewed by 1470
Abstract
The collection and processing of personal data offers great opportunities for technological advances, but the accumulation of vast amounts of personal data also increases the risk of misuse for malicious intentions, especially in health care. Therefore, personal data are legally protected, e.g., by [...] Read more.
The collection and processing of personal data offers great opportunities for technological advances, but the accumulation of vast amounts of personal data also increases the risk of misuse for malicious intentions, especially in health care. Therefore, personal data are legally protected, e.g., by the European General Data Protection Regulation (GDPR), which states that individuals must be transparently informed and have the right to take control over the processing of their personal data. In real applications privacy policies are used to fulfill these requirements which can be negotiated via user interfaces. The literature proposes privacy languages as an electronic format for privacy policies while the users privacy preferences are represented by preference languages. However, this is only the beginning of the personal data life-cycle, which also includes the processing of personal data and its transfer to various stakeholders. In this work we define a personal privacy workflow, considering the negotiation of privacy policies, privacy-preserving processing and secondary use of personal data, in context of health care data processing to survey applicable Privacy Enhancing Technologies (PETs) to ensure the individuals’ privacy. Based on a broad literature review we identify open research questions for each step of the workflow. Full article
(This article belongs to the Special Issue e-Health Pervasive Wireless Applications and Services (e-HPWAS'19))
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