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Advances in Sport and Exercise Biomechanics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 1132

Special Issue Editors


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Guest Editor
School of Sport, Health and Exercise Science, Spinnaker Building, University of Portsmouth, Portsmouth, UK
Interests: musculoskeletal modeling; soft tissue dynamics; novel technologies and methods; ergonomic sports product design; bio-feedback

E-Mail Website
Guest Editor
School of Sport, Health and Exercise Science, Spinnaker Building, University of Portsmouth, Portsmouth, UK
Interests: sports biomechanics; novel technologies and methodological approaches; applied biomechanics; in-field testing; real-time feedback

Special Issue Information

Dear Colleagues,

In recent years, the field of sport and exercise biomechanics has experienced significant advancements, driven by cutting-edge technology and innovative research methodologies. Advanced motion capture systems, wearable sensors, and sophisticated modeling software have revolutionized our ability to analyze and interpret human movement with unprecedented precision. These tools have facilitated deeper insight into the intricacies of movement patterns, muscle activation, and force generation. Moreover, the application of advanced computational models and machine learning algorithms provides deeper insights into complex biomechanical phenomena. By simulating various scenarios and predicting outcomes, these models assist in understanding technique execution and interactions with equipment and the environment.

The featured studies highlight the transformative impact of these advancements, showcasing how contemporary biomechanics research is enhancing our understanding of human movement and contributing to the fields of sports science, physical therapy, and health and exercise promotion.

Dr. Chris Mills
Dr. Timothy A. Exell
Guest Editors

Manuscript Submission Information

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Keywords

  • simulation
  • machine learning
  • artificial intelligence
  • wearable technology
  • ecological based research
  • medicine
  • accessible technology
  • sport performance
  • injury rehabilitation
  • health

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Published Papers (2 papers)

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Research

9 pages, 851 KiB  
Article
Acute Effects of Different Warm-Up Protocols on Jump Performance in Elite Male Italian Handball Players
by Carlo Simonelli, Alessio Rossi, Giampiero Merati, Ivan Malagoli Lanzoni and Federico Nigro
Appl. Sci. 2024, 14(23), 11000; https://doi.org/10.3390/app142311000 (registering DOI) - 26 Nov 2024
Abstract
The aim of the present study was to evaluate the acute effects of three different warm-up protocols on jump performance in elite male handball players. Warming up with a traditional (TR) set of exercise was compared with balance (BA) and unbalanced (UN) activation [...] Read more.
The aim of the present study was to evaluate the acute effects of three different warm-up protocols on jump performance in elite male handball players. Warming up with a traditional (TR) set of exercise was compared with balance (BA) and unbalanced (UN) activation protocols. Thirty-two male handball players (age 24.2 ± 4.7 (m ± SD) y, weight 84.4 ± 8.5 kg, height 183.9 ± 7.3 cm) from two Italian first division National championship teams completed the three warm-up protocols in three different occasions and performed three countermovement jumps each with a 3 min rest. The jump height was evaluated from flight time. The players jumped an average of 40.7 ± 4.8 cm, 42.4 ± 4.9 cm, and 42.5 ± 5.0 cm in TR, BA, and UN conditions, respectively. A significant main effect (p < 0.001; η2 = 0.812) between the warm-up protocols for jump height was detected. A post hoc analysis showed that athletes performed significantly higher jumps under BA (p < 0.001) and UN (p < 0.001) conditions compared to performing a TR warm-up protocol. In conclusion, both BA and UN warm-up protocols induced significantly higher jump heights in elite male Italian handball players, compared to the traditional warm-up routine. The use of dynamic activation exercises enhance the neuromuscular properties of the warm-up compared to traditional protocols. Full article
(This article belongs to the Special Issue Advances in Sport and Exercise Biomechanics)
13 pages, 2338 KiB  
Article
Investigating the Effect of Motion Capture Suits on the Test–Retest Reliability of Gait Parameters
by Matt C. Smith, Phaedra Leveridge, Garry Massey, Jessica Tyrrell, Malcolm Hilton and Genevieve K. R. Williams
Appl. Sci. 2024, 14(18), 8570; https://doi.org/10.3390/app14188570 - 23 Sep 2024
Viewed by 656
Abstract
When collecting marker-based motion capture data from clinical populations, speed of collection and comfort for the participant is a priority. This could be achieved by attaching markers to motion capture Velcro suits, as opposed to the skin. This study aimed to ascertain the [...] Read more.
When collecting marker-based motion capture data from clinical populations, speed of collection and comfort for the participant is a priority. This could be achieved by attaching markers to motion capture Velcro suits, as opposed to the skin. This study aimed to ascertain the reliability of sagittal-plane gait parameters estimated using Plug-in Gait (PiG) and Conventional Gait Model 2 (CGM2) marker sets from data collected in Suited and Non-suited (markers placed onto skin) conditions. For ten participants, markers were placed based on PiG and CGM2 models and data captured during a 2-min treadmill walk. Trials were repeated in suited and non-suited conditions. PiG ankle flexion/extension measurements had poor/moderate reliability (Non-suited ICC = 0.531, Suited ICC = 0.435). CGM2 ankle flexion/extension measurements had good/excellent reliability (Non-suited ICC = 0.916, Suited ICC = 0.900). There were significant differences in minimal detectable change (MDC) between conditions at the ankle for PiG (Non-suited MDC = 2.32°, Suited MDC = 18.90°), but not for CGM2 (Non-suited MDC = 0.63°, Suited MDC = 0.95°). When using CGM2, knee (Non-suited ICC = 0.878, Suited ICC = 0.855) and hip (Non-suited ICC = 0.897, Suited ICC = 0.948) showed good/excellent reliability in both conditions. A motion capture suit is not a reliable solution when collecting joint angle data using the PiG model but is reliable enough to consider when using the CGM2 model. Full article
(This article belongs to the Special Issue Advances in Sport and Exercise Biomechanics)
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