Human Motion, Orthopaedics, Sports Medicine and Digital Methods » Luxembourg Institute of Health
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Human Motion, Orthopaedics, Sports Medicine and Digital Methods

The HOSD platform aims to understand how human movement and physical activity and their behavioural, functional and performance dimensions serve as outcome measures, diagnostic biomarkers and modality for treatment, prevention or delay in many disease areas. 

activities

The HOSD platform aims to understand and exploit towards clinical trials and practice how human movement and physical activity and their behavioural, functional and (sports) performance dimensions serve as outcome measures, (early) diagnostic biomarkers and modality for treatment, prevention or delay in many disease areas. This particularly applies to where the musculoskeletal system is directly affected, e.g. in orthopaedics and sports injury but also where the effects are less direct but evident, such as with neurodegenerative diseases and other NCD’s of high patient and socioeconomic burden such as cancer, diabetes, multiple sclerosis or ageing. Here activity profiles and movement patterns are also relevant for patient stratification into clinical trials. 

We conduct and support research related to the systematic assessment of human movement biomechanics, physical activity behaviour, functional performance and associated biometrics using lab-based methods (3D motion capture, force plates), portable, ambulant or remote methods for out-of-lab and free-field measurements, as well as real-life monitoring using e.g. wearable devices, sensors or other digital tools including electronic patient self-reports, experience sampling methods and multi-modal approaches. Our activities comprise the development, selection, configuration, technical and clinical validation and application of such methods in research and clinical practice in translational (from bench-to-bed and back) and transversal (across medical disciplines and diseases) manners. These activities naturally interface with biosignal processing and data science methods such as machine learning. 

Bernd
Grimm
WATCH 📺 – Motion Capture with markerless and monocular AI-driven systems – New tools for digital health

Projects & clinical trials

Some of the group’s research projects include: 

Featured team members

  • Jennifer
    Fayad
    Clinical Movement Biomechanics Expert
  • Matthew
    Flood
    Postdoctoral Fellow
  • Paul
    Gette
    Research Assistant
  • Bernd
    Grimm
    Group Leader
  • Romain
    Seil
    PhD Student

Scientific publications

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