ESE - Editoriais, Cartas, Notas, Prefácios, Indexados à WoS/Scopus
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- Editorial: Training load in sport: current challenges and future perspectivesPublication . Branquinho, Luís; Forte, Pedro; França, Elias de; Ferraz, Ricardo; Teixeira, José Eduardo; Thomatieli-Santos, RonaldoTraining load is a critical component of athletic development, serving as a fundamental determinant of performance enhancement and injury prevention (1). Factors such as training intensity, volume, frequency, and density must be carefully managed to promote positive adaptations in athletes (2). The concept of training load is not merely a measure of the amount of work performed, it is a complex interplay of factors that can significantly influence an athlete’s performance trajectory (3). Understanding how to optimize training load is essential to maximizing athletic performance while minimizing the risks of excessive fatigue, injury, and overtraining, which can negatively impact an athlete’s performance and ability to compete and train effectively, as well as overall health (1).
- Special Issue “Biomechanical Analysis in Physical Activity and Sports”Publication . Forte, PedroBiomechanics plays a vital role in helping us understand how the human body moves, especially in the context of sports and physical activity. By applying principles from physics and engineering, biomechanical analysis allows us to study the forces acting on the body. This is incredibly valuable not only for enhancing athletic performance but also for health and physical activity-related analysis. Recent technological advances, including motion capture systems, force plates, electromyography (EMG), and computational fluid dynamics, have provided us with powerful tools for measuring and modeling movement with unparalleled precision [1– 3]. These technologies have been adopted across various sports, including running, cycling, and swimming, helping athletes and coaches in enhancing their performance techniques [2, 3 ]. In addition, the emergence of wearable technology and artificial intelligence (AI) has further advanced real-time analysis capabilities. Today, athletes can receive immediate feedback through sensors embedded in their gear, allowing them to adjust their technique on the spot, which also plays a big part in preventing injuries [1]
