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Towards Pervasive Health-Centric Care Systems: Empowering Patients and Citizens Through Sensors and Collaboration Technologies

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

Deadline for manuscript submissions: closed (20 December 2019) | Viewed by 15109

Special Issue Editors


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Guest Editor
Information Processing and Telecommunications Center, Polytechnic University of Madrid, 28040 Madrid, Spain
Interests: drone applications; data fusion; interaction; augmented reality; data analytics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Digital Design Department, IT University of Copenhagen, Rued Langgaards Vej 7, DK-2300 Copenhagen S, Denmark
Interests: ambient intelligence; human computer interaction; pervasive healthcare; pervasive computing; sensors for healthcare

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Guest Editor
Department of Information Processing Science, University of Oulu, Oulu, Finland
Interests: multiple sclerosis; mHealth; patient empowerment; user-centered design
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
E3DA, Fondazione Bruno Kessler, 38123 Trento, Italy
Interests: energy efficient embedded systems; Internet of Things; wearable devices, body area networks; wireless sensor networks; smart cities and communities; ambient intelligence; human computer interaction; motor rehabilitation; pervasive healthcare

Special Issue Information

Dear Colleagues,

The digitalization of healthcare creates opportunities for services that allow patients to play a stronger role in their care. For example, shared decision-making tools can empower patients in care-related decisions, sensor devices can help patients in building self-awareness of their health, and digital platforms provide new ways for patients to communicate with their peers and care professionals. Service design offers tools for harnessing these new digital enablers for patient empowerment through understanding ecosystems, user journeys and value co-creation models needed for successful implementation and adoption in the context of care.

In this context, this Special Issue welcomes contributions on technology advances applied to patient empowerment and clinician support, and experiences of technology-based clinical pathway improvement.

In particular, the following topics are proposed (although other connected topics may be also suitable for submission):

  • Tailored technologies and services for person/patient empowerment, from prevention to treatment (IoT solutions, mobile applications, artificial intelligence-based systems, etc.).
  • Sensors and sensor intensive applications.
  • Big data infrastructures and predictive strategies for patient support.
  • Works on persuasive interfaces, serious gaming and motivation strategies for treatment adherence.
  • Novel approaches on interfaces for patient empowerment. Use of virtual reality, augmented reality, conversational agents, etc.
  • Caregiver–patient collaboration frameworks for decision-making.
  • Specific approaches to tackle interoperability, usability, security, in the personalization of the clinical service pathway.
  • Experiences of clinical pathway transformation driven by pervasive technologies.
  • Cases of the use of pervasive and social technologies for disease support.
  • Description and application of service design methodologies in healthcare.
  • Prospective studies on the potential of pervasive technologies as agent of change in traditional healthcare systems.
  • Privacy-by-design and other methods to guarantee privacy.

Apart from regular submissions, selected papers from the 6th international EAI 2nd IMPACT 2019 Workshop (collocated with the PervasiveHealth Conference 2019, http://pervasivehealth.org/workshop-impact/) that are significantly extended will be also included in the Special Issue.

Dr. Ana M. Bernardos
Dr. Minna Isomursu
Dr. Guido Giunti
Dr. Elisabetta Farella
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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

  • Pervasive health
  • Wearable sensors
  • IoT
  • Service design
  • Patient empowerment
  • Data analysis

Published Papers (2 papers)

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Research

41 pages, 17763 KiB  
Article
Empowering Children with ASD and Their Parents: Design of a Serious Game for Anxiety and Stress Reduction
by Stéphanie Carlier, Sara Van der Paelt, Femke Ongenae, Femke De Backere and Filip De Turck
Sensors 2020, 20(4), 966; https://doi.org/10.3390/s20040966 - 11 Feb 2020
Cited by 45 | Viewed by 9459
Abstract
Autism Spectrum Disorder (ASD) is characterized by social interaction difficulties and communication difficulties. Moreover, children with ASD often suffer from other co-morbidities, such as anxiety and depression. Finding appropriate treatment can be difficult as symptoms of ASD and co-morbidities often overlap. Due to [...] Read more.
Autism Spectrum Disorder (ASD) is characterized by social interaction difficulties and communication difficulties. Moreover, children with ASD often suffer from other co-morbidities, such as anxiety and depression. Finding appropriate treatment can be difficult as symptoms of ASD and co-morbidities often overlap. Due to these challenges, parents of children with ASD often suffer from higher levels of stress. This research aims to investigate the feasibility of empowering children with ASD and their parents through the use of a serious game to reduce stress and anxiety and a supporting parent application. The New Horizon game and the SpaceControl application were developed together with therapists and according to guidelines for e-health patient empowerment. The game incorporates two mini-games with relaxation techniques. The performance of the game was analyzed and usability studies with three families were conducted. Parents and children were asked to fill in the Spence’s Children Anxiety Scale (SCAS) and Spence Children Anxiety Scale-Parents (SCAS-P) anxiety scale. The game shows potential for stress and anxiety reduction in children with ASD. Full article
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25 pages, 1529 KiB  
Article
IoMT Platform for Pervasive Healthcare Data Aggregation, Processing, and Sharing Based on OneM2M and OpenEHR
by Jesús N. S. Rubí and Paulo R. L. Gondim
Sensors 2019, 19(19), 4283; https://doi.org/10.3390/s19194283 - 03 Oct 2019
Cited by 63 | Viewed by 5128
Abstract
Pervasive healthcare services have undergone a great evolution in recent years. The technological development of communication networks, including the Internet, sensor networks, and M2M (Machine-to-Machine) have given rise to new architectures, applications, and standards related to addressing almost all current e-health challenges. Among [...] Read more.
Pervasive healthcare services have undergone a great evolution in recent years. The technological development of communication networks, including the Internet, sensor networks, and M2M (Machine-to-Machine) have given rise to new architectures, applications, and standards related to addressing almost all current e-health challenges. Among the standards, the importance of OpenEHR has been recognized, since it enables the separation of medical semantics from data representation of electronic health records. However, it does not meet the requirements related to interoperability of e-health devices in M2M networks, or in the Internet of Things (IoT) scenarios. Moreover, the lack of interoperability hampers the application of new data-processing techniques, such as data mining and online analytical processing, due to the heterogeneity of the data and the sources. This article proposes an Internet of Medical Things (IoMT) platform for pervasive healthcare that ensures interoperability, quality of the detection process, and scalability in an M2M-based architecture, and provides functionalities for the processing of high volumes of data, knowledge extraction, and common healthcare services. The platform uses the semantics described in OpenEHR for both data quality evaluation and standardization of healthcare data stored by the association of IoMT devices and observations defined in OpenEHR. Moreover, it enables the application of big data techniques and online analytic processing (OLAP) through Hadoop Map/Reduce and content-sharing through fast healthcare interoperability resource (FHIR) application programming interfaces (APIs). Full article
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