Biomarkers Arising From Nonlinear Analysis of Movement Variability

About

The Laboratory for Movement Biomechanics (LMB - ETH Zurich) together with the Center for Research in Human Movement Variability (MOVCENTR - UNO Omaha) is organizing a 4-day workshop bringing together researchers and experts from different fields to explore the latest advancements and research on biomarkers arising from nonlinear analysis of movement variability. During the workshop, participants will learn about the underlying mathematics and clinical applications of state-of-the-art techniques and tools for assessing nonlinear characteristics of movement: Complexity, Divergence, Regularity, and Recurrences in human movement research (but also other biological signals e.g., heart rate, respiratory rate). The programme includes keynote presentations from world leading experts, think-tank sessions to share opportunities and challenges for fundamental investigations in nonlinear analysis of movement variability and Consult with Experts sessions to meet one-to-one with experts to discuss and plan your research journey using non-linear analysis tools. A great list of speakers has already been confirmed including Prof. Nick Stergiou, UNO Omaha, Prof. Madalena Costa, Harvard Medical School, Prof. Norbert Marwan, Potsdam Institute for Climate Impact Research, and many others.

Course leader

Dr. Sjoerd Bruijn, Vrije Universiteit Amsterdam, Netherlands Dr. Peter Raffalt, University of Southern Denmark, Denmark Dr. Aaron Likens, University of Nebraska at Omaha, USA Dr. Hauke Kramer, Potsdam Institute for Climate Impact Research, Germany

Target group

Participants with varied backgrounds (research scientists, clinicians, educators, students…) are all welcome since we include a strong practical component with classroom discussions and hands-on practice to facilitate understanding of the methods.

Course aim

The workshop aims to converge international experts in the field to share first-​hand knowledge on state-​of-the-art nonlinear methods for the analysis of movement time series data and then to establish a strategic research focus for the development and validation of biomarkers arising from nonlinear analysis of movement variability.

Fee info