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Special Issue "Body Sensors Networks for E-Health Applications"

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

Deadline for manuscript submissions: 20 June 2019

Special Issue Editors

Guest Editor
Dr. David Naranjo-Hernández

Biomedical Engineering Group, University of Seville, 41092 Sevilla, Spain
Website | E-Mail
Interests: biomedical smart sensors, wireless body sensor networks, bioelectromagnetics, intrabody communications, bioimpedance, accelerometry and capacitive sensing
Guest Editor
Dr. Laura M. Roa

Biomedical Engineering Group, University of Seville, 41092 Sevilla, Spain
Website | E-Mail
Interests: multiscale computational modeling for multimodal diagnosis, architectures for the integration of social/health services, intelligent devices for ambient assisted living, and bioelectromagnetics
Guest Editor
Dr. Javier Reina-Tosina

Biomedical Engineering Group, University of Seville, 41092 Sevilla, Spain
Website | E-Mail
Interests: bioelectromagnetics, intelligent devices for ambient assisted living, multiscale computational modeling for multimodal diagnosis, and architectures for the integration of social/health services

Special Issue Information

Dear Colleagues,

The monitoring and analysis of physiological variables through biomedical sensors is fundamental for the diagnosis and monitoring of users and/or patients in the context of e-Health. A biomedical sensor is usually located on the patient to record and analyze physiological signals such as the electrocardiogram, oxygen saturation, blood pressure, body temperature, respiratory rate, heart rate or blood glucose concentration, which can be performed on a 24/7 continuous monitoring scheme (24 hours a day, 7 days a week). The biomedical sensors are connected wirelessly to each other or to an external link device, forming a body sensors network (BSN). BSNs enable real-time, ubiquitous, pervasive and non-obstructive monitoring of the patient's health status and the detection of emergency situations. They provide a reduction in the cost of medical care, since monitoring is done outside the clinical setting, and results in an improvement of the quality of diagnosis and medical follow-up, making possible the early diagnosis of a possible disease and the early management of patients outside the hospital.

These sensors are usually small and lightweight, portable (placed on the skin or in a garment), but also implantable, to allow non-intrusive monitoring, performed in a transparent way, so that the user can obtain an actual measurement of the measured physiological variable, without it being affected by the measurement process itself, and avoiding any type of discomfort to the user.

Despite the advances in BSN, there are still many challenges to be addressed, such as the miniaturization of sensor devices for transparent monitoring, usability and scalability, energy efficiency and energy harvesting to provide greater autonomy, the standardization of low-power wireless communication, design and characterization issues related to antennas in a body environment or the integration of implantable devices.

This Special Issue intends to publish high-quality research papers as well as review articles that would address recent advances and challenges in BSNs for e-Health applications.

Potential topics include, but are not limited to:

  • Novel and enhanced sensors of physiological variables
  • Innovative health-sensing technologies and applications
  • Implantable and minimally invasive devices and nanosensors
  • BSN hardware platforms for e-Health applications
  • Artifact correction and enhanced monitoring using information fusion
  • New processing algorithms and machine learning in BSNs
  • Low-power wireless communication technologies for BSNs
  • Design and characterization of antennas in BSNs
  • Energy efficiency and energy harvesting for body sensor devices
  • Big data challenges and Internet of Things in BSNs
  • Future challenges of BSNs in e-Health applications

Dr. David Naranjo-Hernández
Dr. Laura M. Roa
Dr. Javier Reina-Tosina
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. 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 1800 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.

Published Papers (1 paper)

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Research

Open AccessArticle Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count
Sensors 2019, 19(5), 984; https://doi.org/10.3390/s19050984
Received: 7 January 2019 / Revised: 16 February 2019 / Accepted: 21 February 2019 / Published: 26 February 2019
PDF Full-text (903 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Despite the accessibility of several step count measurement systems, count accuracy in real environments remains a major challenge. Microelectromechanical systems and pressure sensors seem to present a potential solution for step count accuracy. The purpose of this study was to equip an insole [...] Read more.
Despite the accessibility of several step count measurement systems, count accuracy in real environments remains a major challenge. Microelectromechanical systems and pressure sensors seem to present a potential solution for step count accuracy. The purpose of this study was to equip an insole with pressure sensors and to test a novel and potentially more accurate method of detecting steps. Methods: Five force-sensitive resistors (FSR) were integrated under the heel, the first, third, and fifth metatarsal heads and the great toe. This system was tested with twelve healthy participants at self-selected and maximal walking speeds in indoor and outdoor settings. Step counts were computed based on previously reported calculation methods, individual and averaged FSR-signals, and a new method: cumulative sum of all FSR-signals. These data were compared to a direct visual step count for accuracy analysis. Results: This system accurately detected steps with success rates ranging from 95.5 ± 3.5% to 98.5 ± 2.1% (indoor) and from 96.5 ± 3.9% to 98.0 ± 2.3% (outdoor) for self-selected walking speeds and from 98.1 ± 2.7% to 99.0 ± 0.7% (indoor) and 97.0 ± 6.2% to 99.4 ± 0.7% (outdoor) for maximal walking speeds. Cumulative sum of pressure signals during the stance phase showed high step detection accuracy (99.5 ± 0.7%–99.6 ± 0.4%) and appeared to be a valid method of step counting. Conclusions: The accuracy of step counts varied according to the calculation methods, with cumulative sum-based method being highly accurate. Full article
(This article belongs to the Special Issue Body Sensors Networks for E-Health Applications)
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