Hungarian University of Sports Science

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Day 1 - Tuesday, 15 October 2024, Athens lecture hall, Level -1, K1 building

Campus tour: meet at registration area or
Opportunity to exercise at the Dr. Koltai Jenő Sports Centre, the state-of-the-art venue for university education and a practice site for the 2023 World Athletics Championship. Meet at entrance of Sports Center at Csörsz utca or
Castle walking tour. Meet at registration area.

12.00–13.30 Lunch (on your own, area restaurants, university cafeteria)
Student award candidates mount their poster in the Aula for attendees and members of the jury to view during the Symposium

THE BASICS

Chairs: Alan Godfrey, Tibor Hortobágyi | Discussion leader: Melissa Boswell

14.15–15.00 Lead keynote: The world of AI in health care: Past, present, and the future — Peter van Ooijen, Machine Learning Lab Coordinator, Data Science Center in Health, University Medical Center Groningen, The Netherlands
15.00–15.15 Questions
15.15–16.00 Opening keynote 1: AI in the biomechanics of sport science: An overview — Neil Cronin, Neuromuscular Research Centre, Faculty of Sport and Health Sciences, University of Jyvaskyla, Finland
16.00–16.15 Questions
16.15–17.00 Opening keynote 2: AI in the biomechanics of aging research: An overview — Claudine Lamoth, Department of Human Movement Sciences, University Medical Center Groningen, The Netherlands
17.00–17.15 Questions
17.15–17:30 Set 1 of students deliver their 3-minute-long poster, pitches followed by 2 minutes of questions
17.30–19.30 Free program or guided city tour. Meet at registration area.
19.30 Dinner (on your own)
19.30 Speakers’ dinner. C201 Rome seminar room. Sponsor: Human Movement Consulting, Ltd.

Day 2 - Wednesday, 16 October 2024, Athens lecture hall, Level -1, K1 Building

08.00–15.00 Registration: main entrance reception, K1 Building

BODY STRUCTURE AND EXERCISE PRESCRIPTION

Chairs: Márta Szmodis, Rita Kiss | Discussion leader: Claudine Lamoth

09.00–09.20 Machine learning on prediction of relative physical activity intensity using medical radar sensor and 3D accelerometer — Attila Biró, Department of Physiotherapy, University of Malaga, Spain
09.20–9.40 Implementation and evaluation of machine/deep learning algorithms for physical activity recognition in older adults — Luis Francisco Sigcha, Data-Driven Computer Engineering Group, Department of Electronic and Computer Engineering, Health Research Institute, University of Limerick, Ireland
09.40–10.00 Assessment of exercise capacity in patients with pulmonary hypertension with actigraphy: on a journey of development of a novel endpoint — Dzmitry Kaliukhovich, Data Science and Digital Health, Johnson & Johnson Innovative Medicine, Beerse, Belgium
10.00–10.20 AI-aided muscle-tendon analysis in sports biomechanics research — Neil Cronin, Neuromuscular Research Centre, Faculty of Sport and Health Sciences, University of Jyvaskyla, Finland
10.20–10.40 Questions
10.40–11.00 Refreshment break outside Athens lecture hall. Set 2 of students deliver 3-minute-long poster pitches followed by 2 minutes of questions.

MOTOR-COGNITIVE FUNCTION AND AI IN AGING

Chair: János Négyesi, Ádám Lelbach | Discussion leader: Peter M.A. van Ooijen

11.00–11.20 Brain connectome age as an intelligent tool for understanding risk factors in healthy aging — Jesus Cortes, Computational Neuroimaging Group, Biocruces-Bizkaia Health
11.20–11.40 Comparison of the diagnostic accuracy of resting‐state fMRI driven machine learning algorithms in the detection of mild cognitive impairment — Gergő Bolla, Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary
11.40–12.00 Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis —Attila András Horváth, Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary
12.00–12.30 Questions
12.30–14.00 Lunch provided for all registrants in the University Cafeteria

INJURY AND DISEASE

Chair: Attila András Horváth, András Hegyi | Discussion leader: Neil Cronin

14.00–14.20 AI-aided automated recognition of asymmetric and fatigued gait — Gusztáv Fekete, Savaria Institute of Technology, Eötvös Loránd University, Szombathely, Hungary
14.20–14.40 What AI can (not) tell us about ACL re-injury — Chris Richter, Data and Technologies, Bavarian Digital Agency
14.40–15.00 AI-aided characterization of knee function — Melissa Boswell, Department of Bioengineering, Stanford University, Stanford, CA, USA
15.00–15.30 Questions
15.30–16.00 Refreshment break outside Athens lecture hall. Set 3 of students deliver 3-minute-long poster pitches followed by 2 minutes of questions.

PERFORMANCE ASSESSMENT AND PREDICTION WORKSHOP

Chairs and discussion facilitators: Annamária Péter, Leonidas, Petridis, Chris Richter, Jesus Cortes

16.00–16.45 Sensor-based activity recognition in health and disease — Alan Godfrey and Connor Wall, Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK
16.45 Social program options:

Campus tour: meet at registration area or
Opportunity to exercise at the Dr. Koltai Jenő Sports Centre, the state-of-the-art venue for university education and a practice site for the 2023 World Athletics Championship. Meet at entrance of Sports Center at Csörsz utca or
Castle walking tour. Meet at registration area.