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Wearables and Modern Technology for Sports Medicine: The Digital Age...
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Wearables and Modern Technology for Sports Medicine: The Digital Age of Athletes

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

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 9202

Special Issue Editors

Dr. Sam Stuart

E-Mail Website
Guest Editor
Sport, Exercise and Rehabilitation Department, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Interests: wearables; digital health; sports medicine; gait; balance; running gait; inertial sensors; eye-tracking; fNIRS; EEG; neurological conditions; concussion; physiotherapy; rehabilitation
Dr. Steven Marshall

E-Mail Website
Guest Editor
Department of Tourism, Hospitality, Events and Food, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, UK
Interests: exercise performance; dietary assessment; muscle morphology and architecture; wearables; sports nutrition; exercise induced muscle damage and recovery
Dr. Alan Godfrey

E-Mail Website
Guest Editor
Department Computer Science, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK
Interests: wearable systems; physiological monitoring; digital biomarkers; gait
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sports engineering has led to modern technology substantially increasing and advancing in the field of sport and exercise medicine over the past decade. The interest in sports engineering aligns with the increased provision for sports medicine within professional and amateur sport, with multidisciplinary teams of professionals now employed to keep athletes healthy and continuing to perform to a high standard: medics, physiotherapists, nutritionists, strength and conditioning experts, etc. Technological development is creating more objective and accurate assessment tools that can augment the clinical reasoning/judgement that sports medicine decisions typically rely on.

Digital health approaches are being developed at a rapid pace, with increasingly smaller and more discrete sensors/devices/applications that are able to collect data on all aspects of athlete health and performance on and off the field of play (in or out of competition). This Special Issue will focus on the technology that has been applied within sporting contexts and relevant populations to support sports medicine, particularly the following topics:

  • Wearable sensing and mobile technology;
  • Concussion assessment and management;
  • Diet and nutrition tracking or intervention;
  • Physical activity or performance metrics;
  • Cardiovascular screening;
  • Lower limb injury and player biometrics;
  • Pitch-side assessment and management;
  • Injury or performance evaluation and management;
  • Novel technology in amateur and elite sport.

Dr. Sam Stuart
Dr. Steven Marshall
Dr. Alan Godfrey
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

  • wearable sensors
  • digital health
  • sports engineering
  • sports medicine

Published Papers (2 papers)

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Research

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10 pages, 13732 KiB  
Article
Detection of Ground Contact Times with Inertial Sensors in Elite 100-m Sprints under Competitive Field Conditions
by Patrick Blauberger, Alexander Horsch and Martin Lames
Sensors 2021, 21(21), 7331; https://0-doi-org.brum.beds.ac.uk/10.3390/s21217331 - 04 Nov 2021
Cited by 6 | Viewed by 3456
Abstract
This study describes a method for extracting the stride parameter ground contact time (GCT) from inertial sensor signals in sprinting. Five elite athletes were equipped with inertial measurement units (IMU) on their ankles and performed 34 maximum 50 and 100-m sprints. The GCT [...] Read more.
This study describes a method for extracting the stride parameter ground contact time (GCT) from inertial sensor signals in sprinting. Five elite athletes were equipped with inertial measurement units (IMU) on their ankles and performed 34 maximum 50 and 100-m sprints. The GCT of each step was estimated based on features of the recorded IMU signals. Additionally, a photo-electric measurement system covered a 50-m corridor of the track to generate ground truth data. This corridor was placed interchangeably at the first and the last 50-ms of the track. In total, 863 of 889 steps (97.08%) were detected correctly. On average, ground truth data were underestimated by 3.55 ms. The root mean square error of GCT was 7.97 ms. Error analyses showed that GCT at the beginning and the end of the sprint was classified with smaller errors. For single runs the visualization of step-by-step GCT was demonstrated as a new diagnostic instrument for sprint running. The results show the high potential of IMUs to provide the temporal parameter GCT for elite-level athletes. Full article
(This article belongs to the Special Issue Wearables and Modern Technology for Sports Medicine: The Digital Age of Athletes)
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Review

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26 pages, 1518 KiB  
Review
Gait Impairment in Traumatic Brain Injury: A Systematic Review
by Anthony Dever, Dylan Powell, Lisa Graham, Rachel Mason, Julia Das, Steven J. Marshall, Rodrigo Vitorio, Alan Godfrey and Samuel Stuart
Sensors 2022, 22(4), 1480; https://0-doi-org.brum.beds.ac.uk/10.3390/s22041480 - 14 Feb 2022
Cited by 20 | Viewed by 4581
Abstract
Introduction: Gait impairment occurs across the spectrum of traumatic brain injury (TBI); from mild (mTBI) to moderate (modTBI), to severe (sevTBI). Recent evidence suggests that objective gait assessment may be a surrogate marker for neurological impairment such as TBI. However, the most optimal [...] Read more.
Introduction: Gait impairment occurs across the spectrum of traumatic brain injury (TBI); from mild (mTBI) to moderate (modTBI), to severe (sevTBI). Recent evidence suggests that objective gait assessment may be a surrogate marker for neurological impairment such as TBI. However, the most optimal method of objective gait assessment is still not well understood due to previous reliance on subjective assessment approaches. The purpose of this review was to examine objective assessment of gait impairments across the spectrum of TBI. Methods: PubMed, AMED, OVID and CINAHL databases were searched with a search strategy containing key search terms for TBI and gait. Original research articles reporting gait outcomes in adults with TBI (mTBI, modTBI, sevTBI) were included. Results: 156 citations were identified from the search, of these, 13 studies met the initial criteria and were included into the review. The findings from the reviewed studies suggest that gait is impaired in mTBI, modTBI and sevTBI (in acute and chronic stages), but methodological limitations were evident within all studies. Inertial measurement units were most used to assess gait, with single-task, dual-task and obstacle crossing conditions used. No studies examined gait across the full spectrum of TBI and all studies differed in their gait assessment protocols. Recommendations for future studies are provided. Conclusion: Gait was found to be impaired in TBI within the reviewed studies regardless of severity level (mTBI, modTBI, sevTBI), but methodological limitations of studies (transparency and reproducibility) limit clinical application. Further research is required to establish a standardised gait assessment procedure to fully determine gait impairment across the spectrum of TBI with comprehensive outcomes and consistent protocols. Full article
(This article belongs to the Special Issue Wearables and Modern Technology for Sports Medicine: The Digital Age of Athletes)
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