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Feature Papers in Wearables 2024

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 593

Special Issue Editor


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Guest Editor
Querrey Simpson Institute for Bioelectronics, Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
Interests: flexible electronics; biosensors; wearable computing; MEMS; neuroscience; microfluidics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce that the Wearables Section is now compiling a collection of papers submitted exclusively by the Editorial Board Members (EBMs) of our Section and outstanding scholars in this research field. The Special Issue engages in topics such as emerging wearable systems with integrated sensors (motion, ECG, HRV, GSR, blood pressure, biochemical sensors, and others); actuators (drug delivery, electrical stimulus, thermal actuators, and phototherapy); and data analytics engines for addressing key chronic medical conditions, diseases, health diagnostics, stress (mental and physical), wellness, and fitness applications.

The purpose of this Special Issue is to publish a set of papers that typify the very best insightful and influential original articles or reviews in which our Section’s EBMs and outstanding scholars discuss key topics in the field. We expect these papers to be widely read and highly influential within the field. All papers in this Special Issue will be published in a printed book edition after the deadline and will be extensively promoted.

Taking this opportunity, we would also like to call on more excellent scholars to join the Wearables Section to contribute to the development of this field.

Dr. Roozbeh Ghaffari
Guest Editor

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

  • emerging wearable systems with integrated sensors (motion, ECG, HRV, GSR, blood pressure, biochemical sensors, and others)
  • actuators (drug delivery, electrical stimulus, thermal actuators, and phototherapy)
  • data analytics engines for addressing key chronic medical conditions, diseases, health diagnostics, stress, wellness, and fitness applications

Published Papers (1 paper)

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Research

10 pages, 2750 KiB  
Article
Characterization of Running Intensity in Canadian Football Based on Tactical Position
by Abdullah Zafar, Samuel Guay, Sophie-Andrée Vinet, Amélie Apinis-Deshaies, Raphaëlle Creniault, Géraldine Martens, François Prince and Louis De Beaumont
Sensors 2024, 24(8), 2644; https://doi.org/10.3390/s24082644 - 21 Apr 2024
Viewed by 410
Abstract
This study aimed to use a data-driven approach to identify individualized speed thresholds to characterize running demands and athlete workload during games and practices in skill and linemen football players. Data were recorded from wearable sensors over 28 sessions from 30 male Canadian [...] Read more.
This study aimed to use a data-driven approach to identify individualized speed thresholds to characterize running demands and athlete workload during games and practices in skill and linemen football players. Data were recorded from wearable sensors over 28 sessions from 30 male Canadian varsity football athletes, resulting in a total of 287 performances analyzed, including 137 games and 150 practices, using a global positioning system. Speed zones were identified for each performance by fitting a 5-dimensional Gaussian mixture model (GMM) corresponding to 5 running intensity zones from minimal (zone 1) to maximal (zone 5). Skill players had significantly higher (p < 0.001) speed thresholds, percentage of time spent, and distance covered in maximal intensity zones compared to linemen. The distance covered in game settings was significantly higher (p < 0.001) compared to practices. This study highlighted the use of individualized speed thresholds to determine running intensity and athlete workloads for American and Canadian football athletes, as well as compare running performances between practice and game scenarios. This approach can be used to monitor physical workload in athletes with respect to their tactical positions during practices and games, and to ensure that athletes are adequately trained to meet in-game physical demands. Full article
(This article belongs to the Special Issue Feature Papers in Wearables 2024)
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