Internet of Things, Big Data, and Cloud Computing for Healthcare

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 717

Special Issue Editor


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Guest Editor
Department of Computer Architecture and Technology, Universidad de Sevilla, 41012 Sevilla, Spain
Interests: neuromorphic engineering; spiking neural networks; computational pathology; deep learning.
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Special Issue Information

Dear Colleagues,

The Internet of Things, big data, cloud computing, and other modern information technologies continue to make breakthroughs, and the digital economy is booming. Healthcare is one of the most important sectors where technology has started to play a crucial role. Digital technologies help realize the wisdom of medical capacity, improve medical efficiency, and optimize patient experience services.

This Special Issue aims to provide a platform for researchers and practitioners to share their latest research findings, innovations, and applications in the field of the Internet of Things, big data, and cloud computing for healthcare.

We invite the submission of high-quality, original contributions that address theoretical or practical issues related to the theme of the Special Issue. The scope of the Special Issue encompasses a wide range of topics, including but not limited to:

  • Novel IoT devices and systems for well-being and healthcare;
  • Privacy and security in the collection, use, and communication of biomedical data;
  • IoT for monitoring physiological and pathological signals;
  • Self-management Wellness Monitoring and Prevention;
  • IoT-based healthcare systems.

Prof. Dr. Juan Pedro Dominguez Morales
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

  • IoT
  • computer-aided diagnosis
  • data analysis
  • machine learning
  • cloud computing
  • smart healthcare

Published Papers (1 paper)

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Research

46 pages, 2253 KiB  
Article
Smart Healthcare: Exploring the Internet of Medical Things with Ambient Intelligence
by Mekhla Sarkar, Tsong-Hai Lee and Prasan Kumar Sahoo
Electronics 2024, 13(12), 2309; https://doi.org/10.3390/electronics13122309 - 13 Jun 2024
Viewed by 416
Abstract
Ambient Intelligence (AMI) represents a significant advancement in information technology that is perceptive, adaptable, and finely attuned to human needs. It holds immense promise across diverse domains, with particular relevance to healthcare. The integration of Artificial Intelligence (AI) with the Internet of Medical [...] Read more.
Ambient Intelligence (AMI) represents a significant advancement in information technology that is perceptive, adaptable, and finely attuned to human needs. It holds immense promise across diverse domains, with particular relevance to healthcare. The integration of Artificial Intelligence (AI) with the Internet of Medical Things (IoMT) to create an AMI environment in medical contexts further enriches this concept within healthcare. This survey provides invaluable insights for both researchers and practitioners in the healthcare sector by reviewing the incorporation of AMI techniques in the IoMT. This analysis encompasses essential infrastructure, including smart environments and spectrum for both wearable and non-wearable medical devices to realize the AMI vision in healthcare settings. Furthermore, this survey provides a comprehensive overview of cutting-edge AI methodologies employed in crafting IoMT systems tailored for healthcare applications and sheds light on existing research issues, with the aim of guiding and inspiring further advancements in this dynamic field. Full article
(This article belongs to the Special Issue Internet of Things, Big Data, and Cloud Computing for Healthcare)
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