This paper explores the role of artificial intelligence (AI) in elite sports. We approach the
topic from two perspectives. Firstly, we provide a literature based overview of AI success …

The use of wearable devices or “wearables” in the physical activity domain has been
increasing in the last years. These devices are used as training tools providing the user with …

Physiological time series are affected by many factors, making them highly nonlinear and
nonstationary. As a consequence, heart rate time series are often considered difficult to …

Heart rate variability (HRV) during spontaneous respiration (SR) and controlled respiration 6
(CR6) and 15 (CR15) times per minute of 28 highly qualified athletes before and after 7 …

During exercise, heart rate has proven to be a good measure in planning workouts. It is not
only simple to measure but also well understood and has been used for many years for …

Aim of this study was to test whether a monoexponential formula is appropriate to analyze
and predict individual responses to the change of load bouts online during training …

The Fitness-Fatigue model (Calvert et al. 1976) is widely used for performance analysis.
This antagonistic model is based on a fitness-term, a fatigue-term, and an initial basic level …

The positive influence of physical activity for people at all life stages is well known.
Exercising has a proven therapeutic effect on the cardiovascular system and can counteract …

To this day, a review of performance development in cycling goes hand in hand with the
performance of specific performance diagnostics using predefined test protocols. The …

Aim of the study was to identify possible predictors influencing the variability of individual
short-term heart rate (HR) responses to submaximal interval exercise using a probabilistic …