River Tiger Podcast with Dynamics Coaching

Developments in gait analysis that help identify pain related asymmetry could support your training and coaching, with Eva Marunova.

July 20, 2022 Marianne Davies Season 1 Episode 7
River Tiger Podcast with Dynamics Coaching
Developments in gait analysis that help identify pain related asymmetry could support your training and coaching, with Eva Marunova.
Show Notes

In this fascinating conversation Eva shares the main themes and findings from her PhD research. Eva helps to unpack the complexity of equine movement systems and and how gait analysis research is bringing new insights to our understanding of what is healthy or normal gait variability, and what movement strategies may be an indication of pain adaptations.

We discuss how research findings from gait analysis of horses could one day become much easier and cheaper to access and the implications of being able to pick up changes in in movement strategies used by your horses. Finally we explore how findings from research with and without riders can be used to inform coaching and training practice design. 

Eva is an equestrian coach, a university lecturer and a researcher. She is a British Horse Society Accredited Professional Coach with diverse teaching experience from grassroots to expert riders. As a coach, her main interest lies in developing a horse-rider relationship based on biomechanics principles and equitation science. Eva is currently completing a PhD programme at The Royal Veterinary College - her research focuses on the quantification and evaluation of movement asymmetries in horses and the associated movement adaptation strategies horses might utilise under different conditions. This is an exciting area of research which is quickly gaining momentum in the veterinary circles as well as in the wider equestrian community.

Eva's social media links:
Facebook
Instagram
Website

Blog posts mentioned in the podcast: Rider position      Exercises to improve your rising trot

Eva's research article (open access): Smartphone-Based Pelvic Movement Asymmetry Measures for Clinical Decision Making in Equine Lameness Assessment