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Sensors in Sports

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1939

Special Issue Editor


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Guest Editor
Department of Sport Sciences, Sports Research Center, Universidad Miguel Hernández de Elche, 03202 Alicante, Spain
Interests: physical and sports education

Special Issue Information

Dear Colleagues,

The Special Issue of Sensors dedicated to 'Sensors in Sports' aims to explore the latest advancements, challenges, and applications of sensor technology in the realm of sports. Sensors have revolutionized the way athletes approach training, competition, and performance tracking, offering valuable insights into biomechanics, physiology, and technique. This unique edition seeks to compile original research and review articles focusing on recent progressions, technologies, solutions, applications, and emerging challenges in the field of sports where sensors play a crucial role.

Potential topics for submission include, but are not limited to, the following:

  • Wearable sensor technologies for monitoring athlete performance;
  • Biomechanical analysis using motion sensors and inertial measurement units (IMUs);
  • Sensor-based approaches for injury prevention and rehabilitation in sports;
  • Smart textiles and wearable electronics for athlete monitoring and feedback;
  • Sensor systems for real-time tracking and analysis of sports movements;
  • Integration of sensor data with augmented reality (AR) and virtual reality (VR) for sports training;
  • Wireless sensor networks and applications of the Internet of Things (IoT) in sports;
  • Sensor-driven techniques for sports biomechanics research and optimizing performance;
  • Biofeedback systems and sensor-based coaching tools for athletes;
  • Remote monitoring and telemedicine applications in sports medicine;
  • Ethical considerations and privacy issues surrounding sensor-based sports analytics;
  • Case studies and practical implementations of sensor technology across various sports disciplines.

Dr. Manuel Mateo-March
Guest Editor

Manuscript Submission Information

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Keywords

  • wearable sensor technologies
  • inertial measurement units
  • rehabilitation

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Published Papers (1 paper)

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Research

13 pages, 1993 KiB  
Article
Weekly External Load Correlation in Season Microcycles with Game Running Performance and Training Quantification in Elite Young Soccer Players
by Vasileios Kanaras, Yiannis Michailidis, Athanasios Mandroukas, Andreas Stafylidis, Lazaros Vardakis, Angelos E. Kyranoudis, Kosmas Christoulas, Ioannis Gissis and Thomas I. Metaxas
Sensors 2024, 24(14), 4523; https://doi.org/10.3390/s24144523 - 12 Jul 2024
Cited by 2 | Viewed by 1404
Abstract
The purpose of this study was to (a) correlate the weekly external training load with the game running performance in season microcycles and (b) specify the optimal training/game ratio of the weekly external load in elite youth soccer players. The total distance (TD), [...] Read more.
The purpose of this study was to (a) correlate the weekly external training load with the game running performance in season microcycles and (b) specify the optimal training/game ratio of the weekly external load in elite youth soccer players. The total distance (TD), the high-speed running distance (HSRD) (19.8–25.2 km/h), the ZONE6 distance (>25.2 km/h), the acceleration (ACC) (≥+2 m/s2), and the deceleration (DEC) (≥−2 m/s2) were monitored with global positioning system (GPS) technology throughout 18 microcycles and official games. TD had a very high positive correlation average (r = 0.820, p = 0.001), the HSRD had a high positive correlation average (r = 0.658, p = 0.001), the ZONE6 distance and DEC had a moderate positive correlation average ((r = 0.473, p = 0.001) and (r = 0.478, p = 0.001), respectively), and the ACC had a low positive correlation average (r = 0.364, p = 0.001) between microcycles and games. Regarding the training/game ratio, the HSRD showed statistically significant differences between ratios 1.43 and 2.60 (p = 0.012, p ≤ 0.05), the ACC between ratios 2.42 and 4.45 (p = 0.050, p ≤ 0.05) and ratios 3.29 and 4.45 (p = 0.046, p ≤ 0.05), and the DEC between ratios 2.28 and 3.94 (p = 0.034, p ≤ 0.05). Considering the correlation between weekly training and game external load, high weekly training TD values correspond to higher game values, whereas HSRD, ZONE6 distance, ACC, and DEC, which determine training intensity, should be trained in a specific volume. Training/game ratios of 1.43, 2.42 to 3.29, and 2.28 to 3.11 seem to be optimal for HSRD, ACC, and DEC weekly training, respectively. Full article
(This article belongs to the Special Issue Sensors in Sports)
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