I have been thinking about the idea of finding a minimal dose-response relationship for some time now and found the concept of 'critical slowing down' from complex systems theory, which would be super interesting when applied to measuring individual response.
The fact that every system transitioning from one state to another exhibit an increase in variability is a fascinating concept to consider, and I am just wondering whether it might be applicable within the context of human performance. I guess that finding data that provides the necessary resolution to detect these nuanced changes will be hard; however, there have been some attempts using detrended fluctuation analysis (DFA) to find long-term memory in sports data. I have personally played with some biomechanical data such as stride-to-stride variability and vertical oscillations, but I wonder if time-series variability could be a viable direction for establishing individual adaptation thresholds. It is clear that it is impossible to find global predictors; however, at the level of individual limiters, it might be interesting. I am curious to hear your thoughts on this.
Feel free to reach out, and thanks again for sharing your valuable insights.
Great article!
I have been thinking about the idea of finding a minimal dose-response relationship for some time now and found the concept of 'critical slowing down' from complex systems theory, which would be super interesting when applied to measuring individual response.
https://iopscience.iop.org/article/10.1209/0295-5075/132/18001
The fact that every system transitioning from one state to another exhibit an increase in variability is a fascinating concept to consider, and I am just wondering whether it might be applicable within the context of human performance. I guess that finding data that provides the necessary resolution to detect these nuanced changes will be hard; however, there have been some attempts using detrended fluctuation analysis (DFA) to find long-term memory in sports data. I have personally played with some biomechanical data such as stride-to-stride variability and vertical oscillations, but I wonder if time-series variability could be a viable direction for establishing individual adaptation thresholds. It is clear that it is impossible to find global predictors; however, at the level of individual limiters, it might be interesting. I am curious to hear your thoughts on this.
Feel free to reach out, and thanks again for sharing your valuable insights.
https://www.linkedin.com/in/mat%C4%9Bj-n-a74788b3/
Thank you again !
Thanks for reading Geoffrey!