Sneak peek into the #RShiny app that I built to monitor athlete training status. Here is the final push toward the Speed Skating - Winter World Masters Games 2020 in Innsbruck. Multiple medals earned!
#sportscience#monitoring#RStats#winning
What is "feeling"? Is a computation of thousands of current internal data points compared to past ones. Externally, we can access only very few data points. Use those to learn more about your feeling instead of let them dictate your state. https://t.co/JOzLIKXBjx
Unsurprisingly, there is a world of difference between recreational athletes & their elite counterparts. We've used the Joyner model for performance to highlight some of the key phenotypic adaptations between these individuals collated from the literature (4/4).
🚴♂️📊 Excited to share our latest research on a practical self-paced submaximal cycling test, ideal for monitoring training progress! 🏆 Discover the test and its applications in the Special Issue of the 2023 Science & Cycling Congress. Read here: https://t.co/vfnw6VgwGZ
If your job is to monitor athlete training, do you want to reduce the burden on your athletes as much as possible?
e.g.,
- Collecting data in the background
- Running 'invisible monitoring'
It seems like an obvious YES!
But this study suggests otherwise...🧵
@NickJWillsmer@ScienceCycling Thank you, @NickJWillsmer ! The extended conference abstract will be available online around September. I'll share the link then. Official paper in progress!
Thrilled to have shared the results of my first PhD study at the @ScienceCycling conference in Bilbao, just ahead of The Tour de France 2023. The event was buzzing with captivating discussions and cutting-edge presentations! 🚀
#PhD#ScienceCycling#TourdeFrance