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IoT for eHealth

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

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 3497

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
BTECH, Aarhus University, 7400 Herning, Denmark
Interests: eHealth; RWD/RWE; A/ML in clinical research; AI/ML in MedTech
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Integrated Technology, College of Engineering, Yonsei University, Incheon 21983, Korea
Interests: Internet of Things (IoT); cyber physical systems (CPS); ambient intelligence; low-power embedded systems; mobile/robotic sensor networks; healthcare; sensor-based context recognition systems

Special Issue Information

Dear Colleagues,

We would like to encourage you to submit papers for the Special Issue IoT for eHealth of the Open Access Journal Sensors, which will include scientific and state-of-the-art work with applications in the Healthcare and Life Sciences domain. Papers should present original and innovative work that adds value to current solutions, considering the challenges of this highly-regulated industry. Indicative areas for the Special Issue are:

  • IoT solutions for eHealth applications;
  • Mobile sensing for healthcare systems;
  • AI-based virtual coaching applications;
  • Real world data collection;
  • In vivo and in silico virtual clinical trials;
  • Gamification concepts;
  • IoT- and cybersecurity in eHealth systems;
  • Blockchain approaches;
  • Business model innovation.

We look forward receiving your contributions.

Kind regards,

Prof. Sofoklis Kyriazakos
Prof. JeongGil Ko
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

  • IoT
  • eHealth
  • RWD
  • AI
  • ML
  • security
  • mobile sensing

Published Papers (1 paper)

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Research

20 pages, 3129 KiB  
Article
A Solution for the Remote Care of Frail Elderly Individuals via Exergames
by Marco Trombini, Federica Ferraro, Matteo Morando, Giovanni Regesta and Silvana Dellepiane
Sensors 2021, 21(8), 2719; https://doi.org/10.3390/s21082719 - 12 Apr 2021
Cited by 9 | Viewed by 2796
Abstract
Internet of Things (IoT) solutions are a concrete answer to many needs in the healthcare framework since they enable remote support for patients and foster continuity of care. Currently, frail elderly people are among end users who most need and would benefit from [...] Read more.
Internet of Things (IoT) solutions are a concrete answer to many needs in the healthcare framework since they enable remote support for patients and foster continuity of care. Currently, frail elderly people are among end users who most need and would benefit from IoT solutions from both a social and a healthcare point of view. Indeed, IoT technologies can provide a set of services to monitor the healthcare of the elderly or support them in order to reduce the risk of injuries, and preserve their motor and cognitive abilities. The main feature of IoT solutions for the elderly population is ease of use. Indeed, to fully exploit the potential of an IoT solution, patients should be able to autonomously deal with it. The remote-monitoring validation engineering system (ReMoVES) described here is an IoT solution that caters to the specific needs of frail elderly individuals. Its architecture was designed for use at rehabilitation centers and at patients’ homes. The system is user-friendly and comfortably usable by persons who are not familiar with technology. In addition, exergames enhance patient engagement in order to curb therapy abandonment. Along with the technical presentation of the solution, a real-life scenario application is described referring to sit-to-stand activity. Full article
(This article belongs to the Special Issue IoT for eHealth)
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