Recent Applications of Computer-Assisted Technologies in Sports Medicine and Rehabilitation

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

Deadline for manuscript submissions: closed (20 September 2021) | Viewed by 5608

Special Issue Editor


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Guest Editor
Mossakowski Medical Research Institute, Polish Academy of Sciences, 5 Pawinskiego Street, 02-106 Warsaw, Poland
Interests: neurodegeneration, preventing and treatment of neurodegenerative diseases; role of physical activity in therapy of neurodegenerative diseases

Special Issue Information

Dear Colleagues,

Diverse aspects of movement, measurement of strength, assessment of dexterity, precision, and coordination, motor learning, physiological response to effort, and detection of individual traits may be used in sport to set realistic goals, optimize training, and detect limitations and errors. The common ground of sports medicine and rehabilitation is the diagnosis, therapy planning, and evaluation of rehabilitation processes. Realization of these goals may and should exploit the ever-increasing stream of data from multisensor measuring systems, both external and body-bound, providing objective, reliable, and precise information. However, the sheer amount of data practically precludes any efficient analysis of raw data by a researcher themselves, and a variety of computer-assisted technologies must be applied to extract useful information. Furthermore, multimedia transmission allows both gaining field data and setting supervised remote training or rehabilitation exercises. Virtual reality and gaming may add much wanted attractiveness to often onerous daily exercises.

We invite researchers active in this vast and growing field to share their experiences, both as original research papers and as reviews and concept papers.

Dr. Wiktor Niewiadomski
Guest Editor

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Keywords

  • Kinematic recording and evaluation systems
  • subject/patient oriented planning and evaluation of training/rehabilitation process
  • telecommunication for remote training and rehabilitation
  • heuristic (e.g. neuronal nets) and analytical methods in data processing and evaluation
  • integration and cross-referencing of multi signal data
  • increasing engagement and adherence to training/rehabilitation process by combining emotions and cognitive challenge with physical activities

Published Papers (1 paper)

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Research

14 pages, 1960 KiB  
Article
Metabolic Power, Active Drag, Mechanical and Propelling Efficiency of Elite Swimmers at 100 Meter Events in Different Competitive Swimming Techniques
by Sergei Kolmogorov, Andrei Vorontsov and João Paulo Vilas-Boas
Appl. Sci. 2021, 11(18), 8511; https://0-doi-org.brum.beds.ac.uk/10.3390/app11188511 - 13 Sep 2021
Cited by 8 | Viewed by 4974
Abstract
Eight elite swimmers—four females and four males—were studied, each of whom specialized in different swimming techniques and ranked among the top 10 in the world in the 100 m event in their swimming specialty. Methods included a complex of physiological, biomechanical and hydrodynamic [...] Read more.
Eight elite swimmers—four females and four males—were studied, each of whom specialized in different swimming techniques and ranked among the top 10 in the world in the 100 m event in their swimming specialty. Methods included a complex of physiological, biomechanical and hydrodynamic procedures, as well as mathematical modeling. During the special preparation period for the 2017 Swimming World Championship, all subjects performed an 8 × 100 m swimming step-test using their main swimming technique. The relationships between velocity, mechanical and metabolic power were obtained and analyzed for each swimming technique. It was found that, at the last stage of the test, in all swimming techniques, men demonstrated higher values of metabolic power (Pai = 3346–3560 W) and higher mechanical efficiency (eg = 0.062–0.068) than women (Pai = 2248–2575 W; eg = 0.049–0.052). As for propelling efficiency, women (ep = 0.67–0.71) and men (ep = 0.65–0.71) did not differ from each other. Results showed that the frontal component of active drag force is the main reason for the existing differences in maximal swimming velocity between different techniques, since no relevant differences were observed for mechanical and propelling efficiencies among swimming techniques. Full article
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