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Special Issue "Sensor-based E-Healthcare System: Greenness and Security"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (31 October 2017)

Special Issue Editors

Guest Editor
Prof. Dr. Lei Shu

Guangdong University of Petrochemical Technology, Maoming 525000, China
University of Lincoln, Lincoln LN6 7TS, UK
Website | E-Mail
Interests: wireless sensor networks; multimedia communication; middleware; security
Guest Editor
Prof. Dr. Joel J.P.C. Rodrigues

National Institute of Telecommunications (Inatel), Av. João de Camargo, 510 - Centro, 37540-000 Santa Rita do Sapucaí-MG, Brazil;
Instituto de Telecomunicações, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
Website | E-Mail
Interests: wireless sensor networks; body sensor networks; delay tolerant networks; vehicular networks; optical burst switching networks; e-learning; mobile learning; mobile computing; ubiquitous computing; e-health; mobile health

Special Issue Information

Dear Colleagues,

Nowadays, sensor-based E-Healthcare systems are attracting increasing attention from both academic and industrial communities, with a number of benefits (e.g., easy access to diagnostic information, reduction of duplicated calls to doctors, fewer delays in treatment) in terms of traditional healthcare systems. As various information and communication technologies are incorporated in sensor-based E-Healthcare systems, the greenness and security, along with the utilization of these technologies, should be considered. For example, data sensing and transmission technologies should enable energy-efficient collection and delivery of patient information, while data storage and access technologies should enable secure storage and access of patient information.

Thus, for operating sensor-based E-Healthcare systems energy-efficiently and securely, this Special Issue calls for original technical papers, which focus on the greenness and security of sensor-based E-Healthcare systems. Tutorials or survey papers will also be considered. In addition, selected high quality papers from HealthCom 2017 (http://healthcom2017.ieee-healthcom.org/) will be invited for further consideration in this Special Issue for publication. Potential topics include, but are not limited to:

  • Green architecture for sensor-based E-Healthcare system
  • Secure architecture for sensor-based E-Healthcare system
  • Green sensing for sensor-based E-Healthcare system
  • Secure sensing for sensor-based E-Healthcare system
  • Green communication for sensor-based E-Healthcare system
  • Secure communication for sensor-based E-Healthcare system
  • Green computing for sensor-based E-Healthcare system
  • Secure computing for sensor-based E-Healthcare system
  • Green data for sensor-based E-Healthcare system
  • Secure data for sensor-based E-Healthcare system
  • Green network for sensor-based E-Healthcare system
  • Secure network for sensor-based E-Healthcare system
  • Green middleware for sensor-based E-Healthcare system
  • Secure middleware for sensor-based E-Healthcare system

Prof. Dr. Lei Shu
Prof. Dr. Joel J.P.C. Rodrigues
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. Sensors 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 1800 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

  • Sensor
  • E-Healthcare
  • Greenness
  • Security
  • Architecture
  • Sensing
  • Communication
  • Computing
  • Data
  • Network
  • Middleware

Published Papers (2 papers)

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Research

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Open AccessArticle A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres
Sensors 2017, 17(9), 2049; doi:10.3390/s17092049
Received: 25 July 2017 / Revised: 4 September 2017 / Accepted: 5 September 2017 / Published: 7 September 2017
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Abstract
Disease diagnosis can be performed based on fusing the data acquired by multiple medical sensors from patients, and it is a crucial task in sensor-based e-healthcare systems. However, it is a challenging problem that there are few effective diagnosis methods based on sensor
[...] Read more.
Disease diagnosis can be performed based on fusing the data acquired by multiple medical sensors from patients, and it is a crucial task in sensor-based e-healthcare systems. However, it is a challenging problem that there are few effective diagnosis methods based on sensor data fusion for atrial hypertrophy disease. In this article, we propose a novel multi-sensor data fusion method for atrial hypertrophy diagnosis, namely, characterized support vector hyperspheres (CSVH). Instead of constructing a hyperplane, as a traditional support vector machine does, the proposed method generates “hyperspheres” to collect the discriminative medical information, since a hypersphere is more powerful for data description than a hyperplane. In detail, CSVH constructs two characterized hyperspheres for the classes of patient and healthy subject, respectively. The hypersphere for the patient class is developed in a weighted version so as to take the diversity of patient instances into consideration. The hypersphere for the class of healthy people keeps furthest away from the patient class in order to achieve maximum separation from the patient class. A query is labelled by membership functions defined based on the two hyperspheres. If the query is rejected by the two classes, the angle information of the query to outliers and overlapping-region data is investigated to provide the final decision. The experimental results illustrate that the proposed method achieves the highest diagnosis accuracy among the state-of-the-art methods. Full article
(This article belongs to the Special Issue Sensor-based E-Healthcare System: Greenness and Security)
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Review

Jump to: Research

Open AccessReview Applications Based on Service-Oriented Architecture (SOA) in the Field of Home Healthcare
Sensors 2017, 17(8), 1703; doi:10.3390/s17081703
Received: 22 May 2017 / Revised: 17 July 2017 / Accepted: 18 July 2017 / Published: 25 July 2017
PDF Full-text (1425 KB) | HTML Full-text | XML Full-text
Abstract
This article makes a literature review of applications developed in the health industry which are focused on patient care from home and implement a service-oriented (SOA) design in architecture. Throughout this work, the applicability of the concept of Internet of Things (IoT) in
[...] Read more.
This article makes a literature review of applications developed in the health industry which are focused on patient care from home and implement a service-oriented (SOA) design in architecture. Throughout this work, the applicability of the concept of Internet of Things (IoT) in the field of telemedicine and health care in general is evaluated. It also performs an introduction to the concept of SOA and its main features, making a small emphasis on safety aspects. As a central theme, the description of different solutions that can be found in the health industry is developed, especially those whose goal is health care at home; the main component of these solutions are body sensor networks. Finally, an analysis of the literature from the perspectives of functionalities, security implementation and semantic interoperability is made to have a better understanding of what has been done and which are probable research paths to be studied in the future. Full article
(This article belongs to the Special Issue Sensor-based E-Healthcare System: Greenness and Security)
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