Pre-Conference Seminars
Tuesday 9 September
Wednesday 10 September
Tuesday 9 September from 08:30 to 12:15
(S1): From Electromyography to High-Density Surface Electromyography (HDsEMG): New Opportunities for Easy and Advanced Analyses
1. Rationale and structure of the workshop:
High-Density surface Electromyography (HDsEMG) has undergone significant technological and methodological advancements, enabling the non-invasive study of individual Motor Unit behavior and providing direct insight into neural control of movement.
This workshop provides an in-depth exploration of HDsEMG, covering its theoretical foundations, clinical relevance, and practical applications. This session will highlight the unique advantages of HDsEMG over traditional bipolar EMG. Particular emphasis will be placed on its pioneering applications in clinical settings, including neuromuscular diagnostics and rehabilitation, its role in advancing assistive technologies, and its potential for enhanced clinical interpretation and robotic interfaces.
The program begins with a scientific introduction comparing traditional EMG to HDsEMG, highlighting its technological advancements and applications, including basic research, diagnostics, rehabilitation, and integration with assistive technologies (60 minutes). A practical session will follow, where participants learn how to acquire high-quality HDsEMG signals (75 minutes). The third session focuses on data analysis using openhdemg, a free and open-source framework for easy and reproducible analyses of Motor Unit properties [1]. The workshop concludes with a Q&A session to address doubts and explore challenges and future directions.
2. Key takeaway:
Participants will gain a clear understanding of the differences, pros, and cons of traditional EMG and HDsEMG. Furthermore, participants will obtain hands-on experience with data collection, and the ability to leverage open-source tools for advanced Motor Unit analysis.
3. Intended audience
This workshop is aimed at researchers and clinicians who would like to know the potential of HDsEMG and to integrate it into their work, potentially advancing neuromuscular research, rehabilitation practices, and human-machine interactions.
4. References
[1] Valli G, Ritsche P, Casolo A, Negro F, De Vito G. Tutorial: Analysis of central and peripheral motor unit properties from decomposed High-Density surface EMG signals with openhdemg. J Electromyogr Kinesiol. 2024 Feb;74:102850. doi: 10.1016/j.jelekin.2023.102850.

Giacomo Valli
University of Brescia (Italy)
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Giacomo Valli is a postdoc researcher at the University of Brescia (Italy) with the main focus on developing open-source tools for the analysis of Motor Unit behaviour in health and pathology. He obtained a PhD in biomedical sciences and an MSc in Sports Science. He is the creator and maintainer of openhdemg, an open source framework for the analysis of High-Density surface Electromyography recordings.

Eduardo Martinez-Valdes
University of Birmingham, UK
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Eduardo Martinez-Valdes, PT, MSc, PhD, is an Assistant Professor in Musculoskeletal Physiotherapy at the University of Birmingham, UK. He began his physiotherapy studies at Universidad Mayor in Chile (2008) and completed his MSc and PhD in Clinical Exercise Science at the University of Potsdam, Germany, in 2017. His current research investigates neurophysiological mechanisms of musculoskeletal disorders and aging using advanced electrophysiological methods. He has published over 70 peer-reviewed articles across multiple disciplines and is supported by major organizations including The Physiological Society, Muscular Dystrophy UK, Orthopaedic Research UK, the Wellcome Trust, and CMAR.

Paul Ritsche
University of Basel
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Paul Ritsche is a PhD student at the Department of Sport, Exercise and Health at the University of Basel. His research focuses on the automated analysis of muscle architecture from ultrasound images, with a particular interest in how muscle geometry reflects function. He is the main developer of the open-source tools DL_Track_US and DeepACSA, supporting reproducible and accessible muscle ultrasonography image analysis. His recent work includes the use of 3D ultrasound for muscle volume reconstruction and modelling as well as building an open source data based for musculoskeletal ultrasonography images. Paul is also involved in teaching biomechanics and motor control and is an active member of several reproducibility and open science communities.

Francesco Cenni
Neuromuscular Research Center at University of Jyväskylä
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Francesco Cenni, Postdoc: I received my doctorate in Mechanical Engineering from KU Leuven in 2018. My PhD work contributed to the development of a 3D ultrasound technique for measuring muscle-tendon morphology, providing data in a format comparable to magnetic resonance imaging. These working experiences triggered my curiosity also about clinical problems beyond purely technical challenges. In 2021, I was awarded the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship at the University of Jyväskylä (Finland). This work deepened my focus on musculoskeletal properties in cerebral palsy, particularly on how their remodeling influences daily activities such as walking. After further expanding my scientific knowledge through research positions at KU Leuven and the University of Brescia, I am now ready to develop my current research line. My aim is to integrate different perspectives on muscle properties by advancing our understanding of muscle remodeling and its impact on human movement.

Romina Ledergerber
PhD Student at University of Basel
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Romina Ledergerber’s research focuses on neuromuscular mechanisms across various contexts, with a particular emphasis on maturation-related responses to load in children and adolescents. Her PhD centers on a randomized controlled trial involving resistance training in prepubertal children, investigating adaptations in motor unit recruitment patterns and fatigability. By applying high-density electromyography in a pediatric training context – a novel and forward-thinking approach – she aims to deepen the understanding of neuromuscular development in youth and contribute to more effective health prevention strategies starting in early life.
Tuesday 9 September from 13:15 to 17:00
(S2): Heterogeneous Protocols and Multimodal Data in Clinical Motion Analysis: Towards Harmonization for Collaborative Research
Heterogeneous Data in Motion Analysis: Towards Harmonization for Collaborative Research
Over the past decades, motion analysis has become a cornerstone in biomechanics and clinical gait analysis, enabling detailed insights into human movement. However, the increasing diversity of data sources—ranging from optical motion capture and EMG to inertial sensors and virtual environments—has led to a fragmented landscape. This heterogeneity, compounded by the absence of widely adopted standards for data formats, metadata, and sharing protocols, significantly hinders collaborative and reproducible research.
This seminar addresses the urgent need for harmonization and standardization in motion analysis workflows across laboratories and disciplines. We will explore methodological and practical strategies to align data collection, formatting, and sharing—focusing on interoperability, data quality, and clinical relevance.
Key topics will include:
Strengths and limitations of the file formats used in modern motion analysis pipelines.
- Validity and Reliability evaluation of biomechanical models, focusing on the Conventional Gait Model 2 (CGM2) and modelling specifications.
- Implementation of FAIR principles (Findable, Accessible, Interoperable, and Reusable) in motion analysis workflows: what should be the minimum viable information to reuse data?
- Application of AI algorithms to harmonized datasets for automated foot contact detection.
The seminar will also highlight and critically examine key standardization initiatives shaping the field (Camarc, ISB, MoveD, ESMAC, CMAS, …) and proposition of practical solutions to use them.
To bridge theory and practice, the session will include live demonstrations of Moveck’s tools. Participants will have the opportunity to test these tools on real-world datasets and experience firsthand how harmonized workflows can enhance reproducibility, transparency, and efficiency.
This session is designed for researchers, clinicians, and data scientists in human movement science who are committed to building interoperable, collaborative infrastructures for biomechanical data.
Organizers:
Fabien Leboeuf (Nantes Hospital, France)
Arnaud Barré (Moveck Solution inc, Canada)
Stéphane Armand (University of Geneva Switzerland)
Bernhard Dumphart (St. Pölten University of Applied Sciences, Austria)

Fabien Leboeuf
Nantes University Hospital, France
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Fabien Leboeuf is a hospital-based research engineer, in charge of the motion laboratory of Nantes University Hospital, France. His work focuses on three-dimensional gait analysis, biomechanical modeling, and motion capture technologies, with a strong interest in improving clinical decision-making through methodological innovation and open-source tools. He is the developer of the CGM2 (Conventional Gait Model 2), a biomechanical modeling framework integrated into leading commercial motion analysis systems. His current interests include data harmonization, standardization of motion analysis protocols, and the integration of wearable sensors and AI-based methods into clinical workflows.

Arnaud Barré
Chief Executive Officer and founder of Moveck Solution inc.
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Arnaud Barré is the Chief Executive Officer and founder of Moveck Solution inc., based in Quebec City, Canada. He earned his PhD in Informatics and Communication in 2014 from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Since 2008, Arnaud has been actively involved in the development of software frameworks dedicated to biomechanics and motion analysis. His early contributions include the Biomechanical ToolKit (BTK) project, followed by Mokka and pyCGM2. His research work has consistently focused on creating efficient, modular technologies that can be seamlessly integrated into motion analysis workflows, accelerating routine processes and enabling innovations. Through Moveck, Arnaud continues to pursue the same vision, by leading a team of skilled professionals and fostering strong collaborations with the motion analysis community. Moveck is deeply committed to developing a new generation of software applications that not only address today’s clinical and research needs, but also support the ongoing creation of future-ready tools. By facilitating the transition from established methodologies to emerging approaches, Moveck aims to ensure the continuity of research and the long-term sustainability of motion analysis practices. With over 15 years of experience in motion analysis and data harmonization, Moveck has emerged as a key player to propose solutions related to clinical gait analysis standardization.

Stéphane Armand
University of Geneva (UNIGE)
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Stéphane Armand is an Assistant Professor at the Faculty of Medicine, University of Geneva (UNIGE), and Director of the Kinesiology Laboratory at the Geneva University Hospitals (HUG). He earned his PhD in Biomechanics in 2005 in Valenciennes, France. Since joining UNIGE and HUG, his work has focused on improving the diagnosis and treatment of pathological movement, with a particular emphasis on gait disorders. His work bridges biomechanics, neurosciences, and translational clinical science to advance care for patients with motor impairments.
Prof. Armand leads a multidisciplinary team of around 15 researchers and clinicians. He is actively involved in several interdisciplinary projects that integrate neuromechanical modeling and machine learning—aimed at simulating pathological gait and supporting surgical decision-making for children with cerebral palsy.
A strong advocate of open science and collaboration, Prof. Armand serves as an elected board member of the European Society for Movement Analysis in Adults and Children (ESMAC), where he contributes to standardizing clinical gait analysis practices.
With over 180 peer-reviewed publications, Prof. Armand is recognized as a leading figure in clinical gait analysis.”

Bernhard Dumphart
St. Pölten University of Applied Sciences in Austria
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Bernhard Dumphart is a researcher at the Center for Digital Health and Social Innovation at St. Pölten University of Applied Sciences in Austria. He is currently pursuing his doctoral studies at the University of Vienna, focusing on the integration of human gait analysis and artificial intelligence. His research centers on the development, validation, and implementation of a standardized method for gait event detection that can be applied across multiple gait laboratories and accommodate various gait patterns.
Wednesday 10 September from 13:15 to 17:00
(S4): From Diagnosis to Decision: 3D Gait Analysis in Flatfoot Management
Chakravarthy U Dussa, Department of Orthopaedics and Trauma Surgery, LMU University Hospital, Munich, Germany (Support ESMAC). Małgorzata Syczewska, Department of Rehabilitation, The Children’s Memorial Health Institute, Warszawa, Poland. Julie Stebbins University of Oxford, Nuffield Department of Orthopaedics- Rheumatology and Musculoskeletal Sciences, Oxford, United Kingdom
Themes of the seminar:
Flatfoot (FF) is one of the most common pediatric foot deformities and are often asymptomatic. The complexity of the flatfoot lies in its varying expressions from being flexible – to partly flexible – to completely rigid. Its 3-dimenstional nature with predominance in one or more planes poses additional challenge, not only to understand the deformity but also its treatment. Static assessments often fail to reflect the impact of muscular forces, particularly during gait [1]. As a result, dynamic evaluation – especially using 3D gait analysis – has become essential in understanding the relationship between deformity, dysfunction, and compensatory movement patterns [2].
This pre-conference seminar offers an evidence-based overview of FF, covering its classification, functional implications, and current treatment strategies [3]. A particular focus will be on the application of dynamic gait analysis and intersegmental foot modeling to inform clinical decision-making in both conservative and surgical contexts [4]. Case studies will demonstrate how these tools translate into effective, real-world interventions.
By the end of the seminar, participants will understand normal foot biomechanics and how they are altered in FF, be able to differentiate between clinical classifications and their implications, discuss evidence-based treatment options, and interpret gait disturbances using 3D motion analysis to support therapeutic decisions.
Programme of the seminar:
1. Understanding Natural Foot Function and the Biomechanical Consequences of FF (Böhm)
2. Applying 3D Multi-Segment Foot Modeling in Clinical Practice (Stebbins)
3. Defining and classifying FF: Clinical Frameworks and Their Relevance to Treatment (Böhm)
4. Integrating Motion, Clinical, and Plantar Pressure Data for Evidence-Based FF Management (Dussa)
5. Identifying and Interpreting Gait Disturbances in Children with FF(Syczewska)
6. Case-Based Applications of Dynamic Assessment in the Management of FF (All)
References:
1. Böhm H, Döderlein L, Fujak A, Dussa CU. Is there a correlation between static radiographs and dynamic foot function in pediatric foot deformities? Foot Ankle Surg 2020; 26(7):801-9.
2. Böhm H, Stebbins J, Kothari A, Dussa CU. Dynamic Gait Analysis in Paediatric Flatfeet: Unveiling Biomechanical Insights for Diagnosis and Treatment. Children (Basel). 2024;11(5):604.
3. Boryczka-Trefler A, Kalinowska M, Szczerbik E, Stępowska J, Łukaszewska A, Syczewska M. Comparison of 2 Conservative Treatment Approaches for the Flat Foot in Children Aged 5 to 10: Foot Orthoses Versus Foot Orthoses Supplemented With Zukunft-Huber Manual Therapy. Clin Pediatr (Phila). 2024; 63(3):304-312.
4. Uhan J, Kothari A, Zavatsky A, Stebbins J. Using surface markers to describe the kinematics of the medial longitudinal arch. Gait Posture. 2023; 102:118-124.

Harald Boehm
Orthopedic Hospital for Children in Aschau, Germany
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Harald Boehm is Director of the Gait Laboratory at the Orthopedic Hospital for Children in Aschau, Germany, and Professor of Biomechanics in the Orthobionics program at the University of Applied Sciences and Arts in Göttingen. He holds a PhD in physics and completed his postdoctoral qualification at the Technical University of Munich. He serves on the executive board of the German Clinical Movement Analysis Society (GAMMA) and is an Associate Editor for the journal Gait & Posture. His work focuses on sports technology, musculoskeletal simulation, orthotic evaluation in cerebral palsy, assessment of foot function, and clinical gait and running analysis.

Małgorzata Syczewska
The Children’s Memorial Health Institute in Warszawa, Poland
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Małgorzata Syczewska is a professor in the Department of Rehabilitation at The Children’s Memorial Health Institute in Warszawa, Poland. Her research is focused on clinical biomechanics, especially movement and balance analysis, for better diagnostics and assessment of treatment outcomes in pediatric patients.

Julie Stebbins
Oxford Gait Laboratory, United Kingdom
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Julie is a clinical scientist working at the Oxford Gait Laboratory and within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford. Her research primarily focuses on biomechanics of the foot and ankle. More recently, she has been involved in setting up gait analysis services in Ethiopia and other countries in sub-Saharan Africa.