Fig. 2
From: Wearable sensors for monitoring the internal and external workload of the athlete
Value proposition of wearable sensor technology to monitor athlete training load to minimize soft-tissue injuries. a Hypothetical relationship between training loads, fitness, injuries, and performance. Inadequate and excessive training loads could result in increased injuries, reduced fitness, and poor team performance. b Interpreting and applying ACWR data to predict the likelihood of subsequent injury. The green-shaded area (‘sweet spot’) represents the ACWR where the risk of injury is low. The red-shaded area (‘danger zone’) represents the ACWR where the risk of injury is high. To minimize the risk of injury, athletes should aim to maintain their ACWR within a range of ~0.8–1.3. c Athlete workout can be monitored via workout logs and self-tracking methods, assessing the sRPE levels, or using wearable technology to quantify movement parameters. The application of wearable sensors to monitor athletic performance and training has provided an added advantage compared to current and past methods by enabling sports scientists and clinicians to quantify the workout, to calculate the ACWR, and to predict the onset of injury. Figure was adapted and modified from Gabbett et al. 46 a, b
