The Use of Biomedical Engineering and Biomechanics in Sports Monitoring and Health Promotion

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomechanics and Sports Medicine".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 2750

Special Issue Editors


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Guest Editor
1. Faculty of Sport, University of Porto, 420-540 Porto, Portugal
2. Centre for Research, Education, Innovation and Intervention in Sport, 4200-450 Porto, Portugal
Interests: sport sciences; swimming; aquatic exercise; training effects; performance; testing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), 5001-801 Vila Real, Portugal
Interests: biomechanics; swimming; water fitness; performance; monitoring

Special Issue Information

Dear Colleagues,

Human movement is somehow complex and adaptive considering the degree of the external stimulus. The large spectrum of sport sciences and medicine requires the definition of tools that can expand our ability to non-invasively obtain accurate information and redefine movement patterns. Biomedical engineering and biomechanics are key disciplines that contribute with the most suitable or reliable methods for regular assessments and help uncover sports injuries, enhance performance or promote healthy habits throughout life. Those are key disciplines that serve the daily practice of sport physicians, coaches and other health-related professionals, and help in defining training loads or exercise prescription, if appropriate. For this Special Issue, we encourage authors to contribute their most recent findings using cutting-edge technology in sports monitoring and health promotion across biomedical engineering and biomechanical areas. Specific topics of interests for this Special Issue include (but are not limited to):

  • Biomedical engineering;
  • Sports biomechanics;
  • Sports engineering;
  • Valid and reliable methodologies for testing and analysis;
  • Wearable devices and sensors for biomechanical analysis;
  • Effects in health- and performance-related parameters;
  • Monitoring physical activity and exercise;
  • Biomechanical diagnostics in rehabilitation.

Dr. Mário Jorge Costa
Dr. Catarina Costa Santos
Guest Editors

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Keywords

  • bioengineering
  • biomedical
  • biomechanics
  • sports monitoring
  • health promotion

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Published Papers (1 paper)

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Research

10 pages, 1710 KiB  
Article
Swimming Velocity Analysis Using Wearable Inertial Sensors and Speedometer: A Comparative Study
by Leandro Vieira, Mário J. Costa, Catarina C. Santos, Francisco A. Ferreira, Ricardo J. Fernandes, Susana Soares, Márcio F. Goethel and João Paulo Vilas-Boas
Bioengineering 2024, 11(8), 757; https://doi.org/10.3390/bioengineering11080757 - 26 Jul 2024
Viewed by 1509
Abstract
The speedometer is widely used to evaluate swimming velocity but has some constraints. With the constant development of inertial units (IMUs), it is expected that they will become a good alternative to the speedometer. This study aimed to compare the data retrieved by [...] Read more.
The speedometer is widely used to evaluate swimming velocity but has some constraints. With the constant development of inertial units (IMUs), it is expected that they will become a good alternative to the speedometer. This study aimed to compare the data retrieved by an IMU and a speedometer when breaststroke is performed at maximum speed. Sixteen swimmers, nine males and seven females (20.3 ± 3.3 vs. 18.7 ± 1.1 years old, 65.8 ± 11.2 vs. 57.7 ± 9.1 kg of body mass and 1.75 ± 0.07 vs. 1.61 ± 0.10 m of height, respectively), performed 4 × 25 m of breaststroke sprint. They were equipped with an IMU fixed to the sacrum and with the line of an electromechanical speedometer (acquisition frequency of 50 Hz) fixed at the central point in the lumbar region. Statistical parametric mapping was used to compare the velocity curves, IBM SPSS was used for descriptive statistics and Bland–Altman plots were used for agreement of measurements. The results show that the IMU and speedometer do not show similar patterns, and the velocity values measured by the IMU are lower (p < 0.001). Bland–Altman plots presented a larger bias in terms of coefficient of variation and intracycle velocity variation. It can be concluded that IMUs and speedometers are not substitutes for each other as methods for evaluating intracycle velocity variations. Full article
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