Wearable technology has enormously developed over the last years allowing to acquire long-term data to analyze changes of various physiological biomarkers over time and the ability to receive (automated) feedback for decision making in various sports. The first presentation of this webinar will provide information about current and emerging technology for decision making in applied sport science. The second presentation will summarize learnings from real world big data for marathon running.
The final presentation of this presentation will deal from apractical point of view with considerations of the right decisions about which technologies to consider in the first place, which to trial, which to adopt, and how to implement these adopted technologies in every day practice.
Almost daily, coaches and athletes are confronted with new (wearable) sensor technologies which claim to deliver useful information to support the decision-making process in order to enhance the quality of training e.g. to increase aspects of performance and/or reduce likelihood of injury.
Next to the rapid technological advancements in this field, commercial sensors are promoted by non-evidence-based marketing claims. Often, coaches and athletes do not know which parameters can be accessed with scientific trustworthiness by wearable sensor technologies.
In this talk, we will discuss which parameters can be accessed by coaches and athletes with scientific trustworthiness, and we dare to look on emerging technologies which might be applied in the near future.
Laboratory performance tests provide the gold standard for running performance but often do not reflect real world conditions.
In our latest work, we use a large dataset obtained from wearable exercise trackers to inform a validated model for running performance, and obtain a better understanding of the complex interplay between training and performance.
The data set contains running activities of ≈ 14,000 individuals, ≈ 1.6 million exercise sessions containing duration and distance, and a total collaborative distance of ≈ 20 million km ran. The inclusion of endurance as a model parameter offers novel insights into performance: a highly accurate race time prediction and the identification of key parameters such as the lactate threshold, commonly used in exercise physiology. Correlations between performance indices and training volume and intensity are quantified, pointing to an optimal training. In this lecture I shall shall explain our approach and possible limitations. Possible applications for an individual athlete and coaches are discussed.
While the potential benefits of technology in sport are massive, the road to successful implementation is full of potential pitfalls.
Making the right decisions about which technologies to consider in the first place, which to trial, which to adopt, and how to implement these adopted technologies in every day practice can help keep practitioners and organizations on the right track.
In this session we will discuss what these decisions look like from the time a new technology hits the market to the time it (potentially) becomes a regular part of your sporting practice.