Wearable Biosensors for Healthcare

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 4274

Special Issue Editors


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Guest Editor
Wearable Technologies Lab, Imperial College London, London SW7 2AZ, UK
Interests: biomedical signal processing; medical devices; smart sensors; Internet of things; sleep medicine; wearable health systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Interests: nano communication; biomedical applications of millimeter and terahertz communication; wearable and flexible sensors; compact antenna design; RF design and radio propagation; antenna interaction with human body; implants; body centric wireless communication issues; wireless body sensor networks; non-invasive health care solutions; physical layer security for wearable/implant communication and multiple-input–multiple-output systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent advances in biomedical and healthcare technology have shown great potential for shifting some of the clinical monitoring and diagnosis to the home of patients. This would not only relieve some of the burden on hospital resources but also provide medical care to a larger cohort of population. Realisation of this idea, however, requires medical equipment and devices that are small in size, lower in cost than their traditional counterparts, safe, easy and comfortable to use, and able to provide reliable results. The push towards large-scale availability of wearable devices for healthcare is only possible with the development of biosensors with high sensing accuracy, small size, low cost, high sensitivity, and low power consumption.

This Special Issue aims to highlight the recent advancements around the design of biosensors for wearable healthcare applications. It will bring together discussions related to the latest technologies, design strategies, development outcomes, and best practices for biosensors in healthcare. Contributions may include, but are not limited to: 

  • Biosensors for personalised healthcare
  • Biosensors for long-term monitoring
  • Biosensors for wearable medical devices
  • Advances in materials for biosensors
  • Demonstration and characterization of full systems using wearable biosensors
  • Low-cost biosensors and systems

Dr. Syed Anas Imtiaz
Dr. Qammer Hussain Abbasi
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. Biosensors is an international peer-reviewed open access monthly 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 2700 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
  • wearable devices
  • sensors
  • biosensors
  • healthcare
  • low-power
  • long-term monitoring
  • diagnosis
  • physiological signals

Published Papers (1 paper)

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Research

10 pages, 1369 KiB  
Article
Short Bouts of Gait Data and Body-Worn Inertial Sensors Can Provide Reliable Measures of Spatiotemporal Gait Parameters from Bilateral Gait Data for Persons with Multiple Sclerosis
by Lilian Genaro Motti Ader, Barry R. Greene, Killian McManus, Niall Tubridy and Brian Caulfield
Biosensors 2020, 10(9), 128; https://doi.org/10.3390/bios10090128 - 20 Sep 2020
Cited by 8 | Viewed by 3640
Abstract
Wearable devices equipped with inertial sensors enable objective gait assessment for persons with multiple sclerosis (MS), with potential use in ambulatory care or home and community-based assessments. However, gait data collected in non-controlled settings are often fragmented and may not provide enough information [...] Read more.
Wearable devices equipped with inertial sensors enable objective gait assessment for persons with multiple sclerosis (MS), with potential use in ambulatory care or home and community-based assessments. However, gait data collected in non-controlled settings are often fragmented and may not provide enough information for reliable measures. This paper evaluates a novel approach to (1) determine the effects of the length of the walking task on the reliability of calculated measures and (2) identify digital biomarkers for gait assessments from fragmented data. Thirty-seven participants (37) diagnosed with relapsing-remitting MS (EDSS range 0 to 4.5) executed two trials, walking 20 m each, with inertial sensors attached to their right and left shanks. Gait events were identified from the medio-lateral angular velocity, and short bouts of gait data were extracted from each trial, with lengths varying from 3 to 9 gait cycles. Intraclass correlation coefficients (ICCs) evaluate the degree of agreement between the two trials of each participant, according to the number of gait cycles included in the analysis. Results show that short bouts of gait data, including at least six gait cycles of bilateral data, can provide reliable gait measurements for persons with MS, opening new perspectives for gait assessment using fragmented data (e.g., wearable devices, community assessments). Stride time variability and asymmetry, as well as stride velocity variability and asymmetry, should be further explored as digital biomarkers to support the monitoring of symptoms of persons with neurological diseases. Full article
(This article belongs to the Special Issue Wearable Biosensors for Healthcare)
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