Home      Log In      Contacts      FAQs      INSTICC Portal
 

Keynote Lectures

Artificial Intelligence in Elite Sports: Analizing Data to Improve Performance and Injury Prevention
Adolfo Muñoz, Villarreal CF SAD, Spain

In Vivo Measurement of Muscle Architecture: Physiological and Methodological Considerations
Olivier Seynnes, Norwegian School of Sport Sciences (NIH), Norway

A Theoretical Framework for Integrating Virtual Reality Systems in Learning Designs of a Professional Football Youth Academy Practice Programme
Keith Davids, Sheffield Hallam University, United Kingdom

 

Artificial Intelligence in Elite Sports: Analizing Data to Improve Performance and Injury Prevention

Adolfo Muñoz
Villarreal CF SAD
Spain
 

Brief Bio
Dr. Muñoz received his undergraduate training in medicine at the University of Seville and finished in 2003. In 2007 he obtained a medical specialization in Exercise and Sports Medicine at the University of Malaga. He also has a master’s degree in Physiology and Neuroscience, a master’s degree in Manual Medicine and master’s degree in Acupuncture. He has been working as the team doctor in professional football clubs since 2003 when he accepted a medical position at the Sevilla FC SAD. He worked there with several teams until 2010 finishing as the1st team doctor. After a period from 2010 to 2013 in which doctor Muñoz continued with research activities, in 2013 he accepted the Medical Director position in Villarreal CF where he worked for 3 seasons. The team classified for UEFA in these 3 seasons and occupied UEFA Europa League and Champions League positions in the Spanish League. Then, Sevilla F.C. called him back to be their medical director in 2017/18, and he worked there being the team classified to Champions league again and finishing in the 4th position of the Spanish League. In 2018 Villarreal CF SAD called Dr. Muñoz back again to lead a big Medical and Research project. Since the end of his studies, Dr. Muñoz has collaborated in many scientific congress and education activities. His multi-disciplinary research and practical application in the day by day in elite teams at the different clubs have focused on the performance and injury prevention. Dr. Muñoz research concerns are injuries and its mechanisms, cardiac responses to activity and resting, heart rate variability and sudden cardiac arrest in sports, as well as the functional and biomechanical exploration of elite athletes. Currently, in Villareal C.F, he is studing the application of Artificial Intelligence in order to improve the performance and prevent injuries, taking advantage of all the data collected from athletes and all the technology involved in de day by day of an elite football team (GPS, HRV, Clinical Records, Technical Records). Dr. Muñoz also collaborates with UEFA Medical Department developing different education and research programs.


Abstract
Elite football clubs are competing along the years in several competitions: National leagues, UEFA Champions League and/or Europa League and finally one or two National Cups. This situation promotes a fixture congestion in their seasons and consecuently the appearance of fatigue and injuries. The clubs and UEFA are more afraid every year about the increasing number of injuries and the clubs are also aware of the performance loss. Medical Departments and Performances Areas are becoming closely and more multidisciplinary along the seasons including different professional profiles in their staff, including physicians, physiotherapists, physical trainers and, lately, sports scientists and engineers for example.
In this scenario, last research has shown that the teams with fewer injuries could have greater performance. So it is shown as importat the management of big amount of data. Technology we currently own could allow us to collect a big amount of data, such as data from GPS, HRV, wearables, biological parameters, etc., so now, new horizons are opening to implement artificial intelligence (AI) tools that allow a deep analysis in different mathematical ways to aid the decision making and helping to decrease injury risks. These technology has different nature as: Neural networks, decision algorithms, machine learning systems, complex system calculus, etc., each of them could give us different approach and possibilities to help us to understand the complex patterns involved in sports



 

 

In Vivo Measurement of Muscle Architecture: Physiological and Methodological Considerations

Olivier Seynnes
Norwegian School of Sport Sciences (NIH)
Norway
 

Brief Bio
Research Associate/Fellow, Institute for Biomedical Research into Human Movement and Health, Manchester Metropolitan University. (2004-2011) PhD in Human movement sciences, Ecole Doctorale des Sciences de la Vie et de la Santé, Université d'Aix-Marseille II, 2003. Post-graduate diploma in Gerontology, Faculté de Médecine de L'Université de Nice-Sophia-Antipolis, France, 2003. MSc by research in Human movement sciences, Ecole Doctorale des Sciences de la Vie et de la Santé, Université d'Aix-Marseille II, 2000.


Abstract
In Vivo Measurement of Muscle Architecture: Physiological and Methodological Considerations In vivo muscle architecture measurements are nowadays included in many research projects on muscle structure, function and plasticity. The spatial arrangement of muscle fascicles is associated with a number of functional features and is also increasingly integrated in clinical settings. However, broad variations in measurements cloud our understanding of the functional significance of muscle architecture and its plasticity. This variation is caused by a number of factors, including the limitations of two-dimensional measurements, assumptions about the homogeneity of fascicle length and behaviour in different muscle regions or predictions generally based on resting anatomy. This presentation will propose 1) a practical review of important considerations to assess muscle architecture using 2D ultrasonography and to highlight the limitations of this technique and, 2) a review of the evidence supporting the link between architecture and function.



 

 

A Theoretical Framework for Integrating Virtual Reality Systems in Learning Designs of a Professional Football Youth Academy Practice Programme

Keith Davids
Sheffield Hallam University
United Kingdom
 

Brief Bio
Professor Keith Davids is Professor of Motor Learning at the Centre for Sports Engineering Research (CSER), where he leads the Skill Acquisition theme. His research programme in ecological dynamics investigates constraints on coordination tendencies in athletes and sports teams classed as nonlinear dynamical systems. Ideas from ecological psychology and nonlinear dynamics have been integrated into a Nonlinear Pedagogy. His research seeks to investigate affordances as constraints on emergent coordination tendencies in athletes and sports teams. In addition to his research Keith supervises several UK based and international doctoral students. Keith is also a journal and grant reviewer for several national and international publishing companies and organisations, and contributes to the MSc Human Factors in Sports Engineering module. More information on: https://www.shu.ac.uk/about-us/our-people/staff-profiles/keith-davids


Abstract
A rapidly developing area of research concerns use of Virtual Reality (VR) systems to develop understanding of sport performance in order to enhance training effectiveness and efficiency. A recent systematic review by Neumann et al. (2017) identified twenty articles revealing that current research on VR systems for enhancing sport performance has targeted factors related to the athlete, task and environment, focusing mainly on endurance sports such as cycling, running and rowing. Research, from an ecological psychology perspective, on VR systems for understanding team sports performance (e.g., see Craig, 2013; Correia et al., 2012), has implicated relevance of information and action in experimental task design. This presentation describes a collaborative project, framed by an ecological dynamics rationale that can develop learning designs for integration of VR systems into practice programmes for elite youth footballers.
Key concepts in ecological dynamics, such as perception-action coupling, representative design of practice environments and provision of opportunities to explore affordance landscapes, can enrich learning designs with VR systems in elite football. An ecological dynamics rationale for integration of digital technologies, like VR systems, can provide a framework for a Department of Methodology in elite sports organisations to coordinate the work of all practitioners (e.g., coaches, trainers, technicians, performance analysts, sport scientists and psychologists) to enhance skill and expertise in athletes, alongside practical training activities.
An ecological dynamics framework provides design principles to enrich the development of youth athletes through: (i) a deep integration of perception, cognition and action in performance preparation by exploiting practice 'repetition without repetition'; (ii) individualisation of training activities, focusing on specificity of individual learning needs; (iii) enhancement of emotional control and adaptive performance behaviours by providing opportunities for self-regulation and experience of fun during learning; and (iv), protecting against physical effects of over-training and for continued learning when recovering from injuries.

 



footer