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: closed (15 October 2024) | Viewed by 12059

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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

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Keywords

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

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Published Papers (3 papers)

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Research

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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
Cited by 5 | Viewed by 5386
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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Review

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18 pages, 921 KiB  
Review
Research Trends and Usability Challenges in Behavioral Data-Based Cognitive Function Assessment
by Yoon Jang, Hui-Jun Kim and Sung-Hee Kim
Electronics 2024, 13(19), 3830; https://doi.org/10.3390/electronics13193830 - 27 Sep 2024
Viewed by 1133
Abstract
The prevalence of dementia, a condition associated with high social costs, is rising alongside the aging population. Early diagnosis of mild cognitive impairment (MCI), a precursor to dementia, is essential for effective intervention. Recent research has focused on diagnosing cognitive function in the [...] Read more.
The prevalence of dementia, a condition associated with high social costs, is rising alongside the aging population. Early diagnosis of mild cognitive impairment (MCI), a precursor to dementia, is essential for effective intervention. Recent research has focused on diagnosing cognitive function in the elderly by analyzing behavioral data, such as gait and hand movements. Compared to traditional neuropsychological assessment methods, behavioral data-based assessments offer advantages, including reduced fatigue for patients and examiners, faster testing procedures, and more objective evaluation of results. This study reviews 15 research projects from the past five years (2018–2023) that have utilized behavioral data to assess cognitive function. It examines the specific gait and hand movement variables used, the technologies implemented, and user experiences reported in these studies. As these types of assessments require new technologies or environments, we analyzed usability issues that should be considered for accurate cognitive assessment. Based on this analysis, the paper proposes future directions for research in the field of behavioral data-based cognitive function assessment. Full article
(This article belongs to the Special Issue Internet of Things, Big Data, and Cloud Computing for Healthcare)
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19 pages, 3757 KiB  
Review
Internet of Things and Big Data Analytics in Preventive Healthcare: A Synthetic Review
by Urška Šajnović, Helena Blažun Vošner, Jernej Završnik, Bojan Žlahtič and Peter Kokol
Electronics 2024, 13(18), 3642; https://doi.org/10.3390/electronics13183642 - 12 Sep 2024
Cited by 3 | Viewed by 5219
Abstract
Background: The IoT and big data are newer technologies that can provide substantial support for healthcare systems, helping them overcome their shortcomings. The aim of this paper was to analyze the relevant literature descriptively, thematically, and chronologically from an interdisciplinary perspective in a [...] Read more.
Background: The IoT and big data are newer technologies that can provide substantial support for healthcare systems, helping them overcome their shortcomings. The aim of this paper was to analyze the relevant literature descriptively, thematically, and chronologically from an interdisciplinary perspective in a holistic way to identify the most prolific research entities and themes. Methods: Synthetic knowledge synthesis qualitatively and quantitatively analyzes the production of literature through a combination of descriptive bibliometrics, bibliometric mapping, and content analysis. For this analysis, the Scopus bibliometric database was used. Results: In the Scopus database, 2272 publications were found; these were published between 1985 and 10 June 2024. The first article in this field was published in 1985. Until 2012, the production of such literature was steadily increasing; after that, exponential growth began, peaking in 2023. The most productive countries were the United States, India, China, the United Kingdom, South Korea, Germany, and Italy. The content analysis resulted in eight themes (four from the perspective of computer science and four from the perspective of medicine) and 21 thematic concepts (8 from the perspective of computer science and 13 from the perspective of medicine). Conclusions: The results show that the IoT and big data have become key technologies employed in preventive healthcare. The study outcomes might represent a starting point for the further development of research that combines the multidisciplinary aspects of healthcare. Full article
(This article belongs to the Special Issue Internet of Things, Big Data, and Cloud Computing for Healthcare)
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