Background CrossFit is recognized as one of the fastest growing high-intensity functional
training modes in the world. However, scientific data regarding the practice of CrossFit is …

Background The application of artificial intelligence (AI) opens an interesting perspective for
predicting injury risk and performance in team sports. A better understanding of the …

Monitoring the load placed on athletes in both training and competition has become a very
hot topic in sport science. Both scientists and coaches routinely monitor training loads using …

Athletes participating in elite sports are exposed to high training loads and increasingly
saturated competition calendars. Emerging evidence indicates that poor load management …

There have been considerable advances in monitoring training load in running-based team
sports in recent years. Novel technologies nowadays offer ample opportunities to …

The modern-day athlete participating in elite sports is exposed to high training loads and
increasingly saturated competition calendar. Emerging evidence indicates that inappropriate …

Many athletes, coaches, and support staff are taking an increasingly scientific approach to
both designing and monitoring training programs. Appropriate load monitoring can aid in …

Training load (TL) is monitored with the aim of making evidence-based decisions on
appropriate loading schemes to reduce injuries and enhance team performance. However …

Measures of resting, exercise, and recovery heart rate are receiving increasing interest for
monitoring fatigue, fitness and endurance performance responses, which has direct …

Training monitoring is about keeping track of what athletes accomplish in training, for the
purpose of improving the interaction between coach and athlete. Over history there have …