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e-Health Pervasive Wireless Applications and Services (e-HPWAS'17)
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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) | Viewed by 20763

Special Issue Editors

Dr. Tayeb Lemlouma

E-Mail Website
Guest Editor
IRISA CNRS Lab, Univ Rennes, IUT de Lannion, 22300 Lannion, 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, Collections and Topics in MDPI journals
Prof. Dr. Abderrezak Rachedi

E-Mail Website
Guest Editor
Laboratoire d'Informatique Gaspard Monge, Université Gustave Eiffel, 77454 Marne-la-Vallée, France
Interests: computer network; Internet of Things; AIoT: artificial Intelligent of Things; applied cryptography; blockchain
Special Issues, Collections and Topics 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, Collections and Topics in MDPI journals
Dr. António Santos

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

grade E-Mail Website
Guest Editor
Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Skellefteå, Sweden
Interests: security&privacy; cryptography; economics of cybersecurity; cryptocurrency protocols; networks; IoTs; complex networks; cloud computing; big data; machine learning; biocomputing
Special Issues, Collections and Topics in MDPI journals

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 submissions that pass pre-check are 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 1600 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 (4 papers)

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Editorial

Jump to: Research

3 pages, 180 KiB  
Editorial
Special Issue on Selected Papers from e-Health Pervasive Wireless Applications and Services 2017
by Tayeb Lemlouma, Sébastien Laborie, Abderrezak Rachedi, António Santos and Athanasios V. Vasilakos
Information 2019, 10(2), 52; https://doi.org/10.3390/info10020052 - 05 Feb 2019
Cited by 2 | Viewed by 2774
Abstract
Providing adapted e-health services, applications, and platforms responds to a growing need for medical institutions like hospitals or even homes [...] Full article
(This article belongs to the Special Issue e-Health Pervasive Wireless Applications and Services (e-HPWAS'17))

Research

Jump to: Editorial

17 pages, 2543 KiB  
Article
Remotely Monitoring Cancer-Related Fatigue Using the Smart-Phone: Results of an Observational Study
by Vanessa Christina Klaas, Gerhard Troster, Heinrich Walt and Josef Jenewein
Information 2018, 9(11), 271; https://doi.org/10.3390/info9110271 - 30 Oct 2018
Cited by 6 | Viewed by 3815
Abstract
Cancer related fatigue is a chronic disease that may persist up to 10 years after successful cancer treatment and is one of the most prevalent problems in cancer survivors. Cancer related fatigue is a complex symptom that is not yet explained completely and [...] Read more.
Cancer related fatigue is a chronic disease that may persist up to 10 years after successful cancer treatment and is one of the most prevalent problems in cancer survivors. Cancer related fatigue is a complex symptom that is not yet explained completely and there are only a few remedies with proven evidence. Patients do not necessarily follow a treatment plan with regular follow ups. As a consequence, physicians lack of knowledge how their patients are coping with their fatigue in daily life. To overcome this knowledge gap, we developed a smartphone-based monitoring system. A developed Android app provides activity data from smartphone sensors and applies experience based sampling to collect the patients’ subjective perceptions of their fatigue and interference of fatigue with the patients’ daily life. To evaluate the monitoring system in an observational study, we recruited seven patients suffering from cancer related fatigue and tracked them over two to three weeks. We collected around 2700 h of activity data and over 500 completed questionnaires. We analysed the average completion of answering the digital questionnaires and the wearing time of the smartphone. A within-subject analysis of the perceived fatigue, its interference and measured physical activity yielded in patient specific fatigue and activity patterns depending on the time of day. Physical activity level correlated stronger with the interference of fatigue than with the fatigue itself and the variance of the acceleration correlates stronger than absolute activity values. With this work, we provide a monitoring system used for cancer related fatigue. We show with an observational study that the monitoring system is accepted by our study cohort and that it provides additional details about the perceived fatigue and physical activity to a weekly paper-based questionnaire. Full article
(This article belongs to the Special Issue e-Health Pervasive Wireless Applications and Services (e-HPWAS'17))
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22 pages, 2896 KiB  
Article
An Ensemble of Condition Based Classifiers for Device Independent Detailed Human Activity Recognition Using Smartphones †
by Jayita Saha, Chandreyee Chowdhury, Ishan Roy Chowdhury, Suparna Biswas and Nauman Aslam
Information 2018, 9(4), 94; https://doi.org/10.3390/info9040094 - 16 Apr 2018
Cited by 30 | Viewed by 6206
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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15 pages, 2313 KiB  
Article
A Blockchain Approach Applied to a Teledermatology Platform in the Sardinian Region (Italy)
by Katiuscia Mannaro, Gavina Baralla, Andrea Pinna and Simona Ibba
Information 2018, 9(2), 44; https://doi.org/10.3390/info9020044 - 23 Feb 2018
Cited by 39 | Viewed by 6989
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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