Emerging Trends of Internet of Things (IoT) Technologies for Healthcare Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 June 2024 | Viewed by 162

Special Issue Editor


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Guest Editor
Department of Computer Science and Mathematics, University of Quebec at Chicoutimi, Chicoutimi, QC G7H 2B, Canada
Interests: healthcare systems; ubiquitous and pervasive computing; context-aware applications; Internet of Things (IoT); Cloud computing, smart healthcare systems; smart city
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Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue on "Emerging Trends of Internet of Things (IoT) Technologies for Healthcare Systems". With the advancement in IoT technologies, it is now possible to collect, monitor and analyze data from various healthcare devices and systems remotely. It integrates traditional healthcare services with information technology, revolutionizing the way healthcare is delivered.

The aim of this Special Issue (SI) is to showcase the latest IoT solutions for healthcare systems on a shared platform for academia and industry researchers. This will advance the state-of-the-art of this field by eliciting new applications and disruptive solutions for medical science and healthcare. For example, these applications can protect patients and help physicians by providing advice and recommendations. Papers should present original and innovative work that adds value to current solutions, considering the challenges of this highly regulated industry. Contributions to this SI should include (but are not limited to):

  • IoT system architectures in healthcare;
  • IoT solutions for eHealth applications;
  • Mobile sensing for healthcare systems;
  • IoT and cybersecurity in eHealth systems;
  • New platforms and solutions for eHealth patient monitoring;
  • Cloud and edge computing for IoT-eHealth;
  • Interoperability and standards for IoT-eHealth;
  • Machine learning and artificial intelligence in eHealth;
  • Ambient assisted living IoT for active and healthy aging;
  • Implantable IoT devices;
  • eHealth-oriented software architectures;
  • Context awareness and autonomous computing for ambient assisted living;
  • Fog and pervasive computing for eHealth;
  • Smart healthcare systems;
  • Telemonitoring systems for eHealth;
  • Design architectural models for eHealth;
  • Data analytics for eHealth systems;
  • Big data architectural models for eHealth;
  • Artificial intelligence healthcare architectural models;
  • Interpretability and accuracy of healthcare systems.

Prof. Dr. Hamid Mcheick
Guest Editor

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. Electronics 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 2400 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

  • eHealth
  • IoT
  • remote patient monitoring
  • telemedicine
  • wearable devices
  • digital health records
  • cloud computing
  • fog and edge computing
  • pervasive computing
  • artificial intelligence
  • machine learning
  • data analytics
  • big data
  • ambient assisted living

Published Papers

This special issue is now open for submission.
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