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E-health Sensor Systems and Platforms for Biomedical Challenges

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

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 3342

Special Issue Editors


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Guest Editor
Biomedical Engineering Group, University of Seville, 41092 Sevilla, Spain
Interests: biomedical smart sensors; wireless body sensor networks; bioelectromagnetics; intrabody communications; bioimpedance; accelerometry; capacitive sensing; fall detection; non-invasive glucose sensing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Biomedical Engineering Group, University of Seville, 41092 Sevilla, Spain
Interests: multiscale computational modeling for multimodal diagnosis; architectures for the integration of social/health services; intelligent devices for ambient assisted living; bioelectromagnetics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Biomedical Engineering Group, University of Seville, 41092 Sevilla, Spain
Interests: bioelectromagnetics; intelligent devices for ambient assisted living; multiscale computational modeling for multimodal diagnosis; architectures for the integration of social/health services
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Biomedical Engineering Group, University of Seville, 41092 Sevilla, Spain
Interests: IoT-based homecare in pandemic and confinement settings; e-Health solutions based on Cloud/Fog computing for remote healthcare delivery; Big Data analytics and AI-based services for surveillance; public health and knowledge generation; new approaches to healthcare with mobility restriction; technologies and systems for relieving isolation emotional distress

Special Issue Information

Dear Colleagues,

Health systems are facing disrupting situations (limited resources, aging population, chronicity, pandemic scenarios, etc.) that threaten traditional functioning and procedures, requiring novel models of healthcare delivery to provide a timely response to the increasing demands of citizens.

Technology may bring capabilities and tools to ease the deployment of cost-efficient services to overcome current challenges. In particular, the potential of sensor devices and platforms to support new healthcare scenarios is promising. Technology makes it possible to deliver healthcare across a wide spectrum of biomedical challenges (e.g., remote and supervised monitoring of patients in home settings and medical consultations or rehabilitation/maintenance programs at home), always maintaining healthcare quality and boosting the safety and comfort of patients while optimizing the efficiency/cost ratio.

Recent advances in e-Health support healthcare delivery in different biomedical situations through products and services aimed at citizens, whether they are healthy or chronic patients, elderly, and/or isolated by a pandemic outbreak. The remote monitoring of physiological variables is an essential part of e-Health systems, and emerging technology paradigms such as the Internet of Medical Things (IoMT) are also gaining momentum. IoMT is a novel concept that envisions medical sensing devices with Internet connectivity for intelligent management in heterogeneous environments such as the patient’s home. This kind of system may help to reduce the overload of healthcare staff and to diminish costs without the detriment of healthcare practice.

This Special Issue aims at collecting advances, proposals, and solutions based on sensors, systems, and e-Health platforms for the management and supervised monitoring of any kind of patient in any biomedical situation. We invite authors to submit their research results and share their experiences based on technology proposals, system implementations, and use cases, as well as review articles. The following topics can be covered in the Special Issue, although other related topics are also welcome:

  • e-Health platforms for home care of patients;
  • Medical sensorization technologies and portable devices;
  • Technological systems, platforms, and use cases for biomedical challenges (e.g., pandemics);
  • Distributed communications infrastructures and clinical information processing;
  • Integration of heterogeneous information sources for healthcare;
  • Accessible and usable user interfaces personalizable for both the patient and the healthcare staff;
  • Resolution of problems associated with connectivity and wireless communications;
  • Interoperability problems and challenges and information standardization;
  • Solutions and proposals to address security and privacy issues;
  • Cloud computing, machine learning, and management of medical data.

Dr. David Naranjo-Hernández
Dr. Laura M. Roa
Dr. Javier Reina-Tosina
Dr. Jorge Calvillo-Arbizu
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

  • e-Health
  • Biomedical smart sensors
  • Ambient assisted living
  • Technological systems and platforms for biomedical challenges
  • Healthcare in the patient's home
  • IoMT-based homecare in biomedical challenges

Published Papers (1 paper)

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Research

18 pages, 643 KiB  
Article
Application of a Platform for Gluten-Free Diet Evaluation and Dietary Advice: From Theory to Practice
by Gesala Perez-Junkera, Maialen Vázquez-Polo, Francisco Javier Eizagirre, Laura Benjumea, Carlos Tutau, Blanca Esteban, Jonatan Miranda, Idoia Larretxi, Virginia Navarro, Itziar Churruca and Arrate Lasa
Sensors 2022, 22(3), 732; https://0-doi-org.brum.beds.ac.uk/10.3390/s22030732 - 19 Jan 2022
Cited by 6 | Viewed by 2324
Abstract
The present work aimed to analyze, through the GlutenFreeDiet digital platform, the evolution over one year of the nutritional status, dietary profile and symptoms present among celiac people on a gluten-free diet (GFD) while receiving individualized dietary advice. Twenty-seven adults and thirty-one celiac [...] Read more.
The present work aimed to analyze, through the GlutenFreeDiet digital platform, the evolution over one year of the nutritional status, dietary profile and symptoms present among celiac people on a gluten-free diet (GFD) while receiving individualized dietary advice. Twenty-seven adults and thirty-one celiac children/adolescents participated in the study. This was then followed up by three visits, at diagnosis, and after 3 and 12 months (vt0, vt3 and vt12). Participants filled out dietary and gastrointestinal symptoms questionnaires. All patients received written personalized dietary advice from dietitians who interpreted data from the platform. Results obtained indicated that participants consumed proteins and lipids in excess and carbohydrates in defect. Low intakes of cereals, fruit and vegetables and high meat intakes were observed. However, gluten-free product (GFP) consumption and that of ultra-processed foods was reduced after 1 year in adults. Symptoms decreased after vt3 but recurred in vt12. Changes in ultra-processed foods and GFP intake, but lack of changes in the rest of the parameters suggested that the platform support was not effective enough. Even though the platform represents a useful tool for monitoring celiac patients and giving dietary advice, modules that require more continuous attention and nutritional education of patients should be provided for interventions to be more effective. Full article
(This article belongs to the Special Issue E-health Sensor Systems and Platforms for Biomedical Challenges)
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