Keynote Dr. Peter Raffalt

Abstract

Single- and multi-scale entropy measures are popular tools for the quantification of regularity and complexity of human movements and a variety of algorithms have been suggested in the literature. While it can be intriguing to apply entropy measures to movement data, several methodological limitations should always be carefully considered before implementation. Additionally, conflicting interpretations of entropy measures exist which makes comparisons between studies difficult. In this talk, I will outline the methodological and interpretational pitfalls when applying entropy measures to human movement data and provide guidelines for the appropriate use. This also includes connecting entropy measures to motor control theories.

Bio 

Dr. Raffalt holds a PhD in Neuroscience from the University of Copenhagen with emphasis on human movement dynamics and motor control. His work has focused on the control of human walking, balance and isometric force production from both a basic and applied research perspective. Specifically, Dr. Raffalt has used various nonlinear mathematical tools to investigate the motor control of younger and older individuals, pathological populations and elite sports athletes. He is currently employed at the Institute of Biology, University of Southern Denmark where his research utilizes the sound production of song birds as a model to investigate motor control.