Special Issue "Intelligent IoT-Based E-health Systems for a Higher Inclusion of Vulnerable People"

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editors

Prof. Dr. Oresti Banos
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Guest Editor
Research Centre for Information and Communications Technology, University of Granada (UGR), 18071 Granada, Spain
Interests: wearable, ubiquitous, and mobile computing; artificial intelligence; data mining; digital health
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Prof. Dr. Jesús Peral
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Guest Editor
Department of Software and Computing Systems, University of Alicante, Spain
Interests: multidimensional databases, business intelligence, data mining and information integration; natural language processing (NLP), specifically in syntactic analysis and solving linguistic phenomena (i.e., ellipsis and anaphora)
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Prof. Dr. David Gil
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Guest Editor
Department of Computing Technology and Data Processing, University of Alicante, Spain
Interests: artificial intelligence applications (such as artificial neural networks, support vector machines, decision trees, and so on); data mining applications; Big Data; Internet of things; diagnosis and decision support system in medical and cognitive sciences
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Prof. Dr. Javi Medina Quero
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Guest Editor
Department of Computer Science, University of Jaén, 23071 Jaén, Spain
Interests: intelligent systems for Internet of Things, which encompasses knowledge base systems with fuzzy logic, deep learning for temporal processing and fusion of sensor data and advanced architectures for ubiquitous computing and ambient intelligence in e-Health
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

As guest editors, we are most pleased to present our Special Issue on Intelligent IoT-based e-Health Systems for a Greater Inclusion of Disabled People. At present, new trends in intelligent systems and IoT devices are changing traditional health systems by facilitating the development of services that help in assisting a greater number of patients. The current challenge is, however, to develop personalized health services improving the precision and quality of generalized treatments for specific sectors of the population. The objective of this Special Issue is to contribute to the development of a new generation of inclusive health systems focused on people with disabilities (PWD), whose conditions of vulnerability require personalized and specialized services. For this reason, this issue seeks to explore the capabilities of IoT while monitoring the daily activities of PWD at home, within hospital or other facilities. Specifically, the new generation of non-invasive devices, such as textile, mobile, and ambient devices in smart environments and health infrastructures, is regarded as the main data source to be processed by machine learning models in order to:

  1. prevent risk conditions of patients in the environment;
  2. ensure the adherence of rehabilitation and prevention treatments;
  3. iincrease the capacity of autonomy within smart environments;
  4. increase knowledge and learning about the disease and treatments of caregivers and patients.

Potential users of such technologies are people with any type of disability, people with visual or hearing disabilities, people with mental disorders or cognitive limitations (e.g., autistic spectrum disorders), elderly people with dementia, Alzheimer’s or Parkinson’s, people with partially or totally reduced mobility, and people with other cognitive deficits.

In this Special Issue, we call for high-quality research papers as well as review articles that address the development of intelligent health systems based on IoT technology for PWD under the following topics (see keywords).

Prof. Dr. Oresti Banos
Prof. Dr. Jesús Peral
Prof. Dr. David Gil
Prof. Dr. Javi Medina Quero
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 papers will be 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. International Journal of Environmental Research and Public Health 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 2300 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

  • Wearable, mobile, and ubiquitous health sensing systems for PWD
  • IoT platforms for health monitoring of PWD
  • IoT-based decision support systems for caregivers and specialists for PWD
  • IoT for improving autonomy of PWD
  • IoT-based remote rehabilitation systems for PWD
  • Benchmarking, datasets, and simulation tools for PWD

Published Papers (1 paper)

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Research

Open AccessArticle
Fuzzy Protoform for Hyperactive Behaviour Detection Based on Commercial Devices
Int. J. Environ. Res. Public Health 2020, 17(18), 6752; https://doi.org/10.3390/ijerph17186752 - 16 Sep 2020
Abstract
Hyperactive behaviour refers to a person making more movement than expected for his or her age and development, acting impulsively, and being easily distracted. There is a need to encourage early and reliable detection through the proposal of new methodologies and systems in [...] Read more.
Hyperactive behaviour refers to a person making more movement than expected for his or her age and development, acting impulsively, and being easily distracted. There is a need to encourage early and reliable detection through the proposal of new methodologies and systems in the context of hyperactive behaviour to prevent or lessen related problems and disorders. This paper presents a methodology to compute a fuzzy protoform (a linguistic description) as an estimator for hyperactive behaviour. The proposed methodology is developed in a system called Smart HyBeDe, which integrate non-invasive and commercial wearable devices, such as activity bracelets, in order to capture data streams from inertial measurement units and optical heart rate sensors. The generated data by the wearable device are synchronized with a mobile device to process the fuzzy protoform to inform family members and professionals. Three datasets generated by the wearable device in real contexts are presented. These datasets are used to evaluate the impact of wrist choice for the wearable device, multiple fuzzy temporal windows, different aggregation operators, and relevant linguistic terms to define the fuzzy protoform as an estimator for the hyperactive behaviour. The results, analysed by a hyperactive behaviour expert, show that the proposed protoform is a suitable hyperactive behaviour estimator. Full article
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