Orthopedics services

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Services: - Full body motion analysis on a treadmill - Gait analysis with real-time feedback in virtual reality environments

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Overview This service provides full-body motion analysis in a stationary environment, specifically tailored for sports and complex biomechanical tasks. The facility relies on a high-precision optical motion-capture tracking volume, originally configured as an advanced golf simulator, that is adaptable to a wide range of athletic movements. By combining a dense array of infrared cameras with high-speed RGB video and inertial sensors, the laboratory captures precise 3D kinematic data. This setup enables detailed assessment of joint angles, segment velocities, and technique execution, providing structured reference data for sports science research, markerless pose estimation training, and validation of athletic wearables. How can the service help you? Developing sports performance trackers, digital coaching applications, or AI-based computer vision models for movement analysis requires precise 3D spatial data. This service provides the necessary gold-standard optical tracking data to validate external systems. Before using this facility, developers often lack the tracking accuracy needed to verify their algorithms. After using the service, clients receive highly accurate 3D coordinate data of joint centers and body segments, allowing them to calculate error margins in their own hardware or software solutions and ensure compliance with relevant performance or medical standards. How will the service be delivered? The service is executed physically at the laboratory facilities in Erlangen, Germany. Sessions are structured around the specific sports movement or biomechanical task being analyzed. The engineering team handles camera calibration, retroreflective marker placement on the participant (if optical tracking is used), and system synchronization. Following the capture session, the 3D marker trajectories are reconstructed, cleaned, and exported for the client. Additional information Provider description Operating under the Department of Artificial Intelligence in Biomedical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg, this facility is a service-provider node within the TEF-Health consortium. The research group focuses on machine learning, biomechanical modeling, and digital health. The team provides testing environments and methodological support for evaluating medical devices and health technologies. Technical details The laboratory uses a hybrid optical-inertial tracking setup optimized for fast, complex movements. Optical Tracking System: The core motion-capture volume (the golf-simulator setup) uses 12 Vicon infrared cameras for precise 3D marker tracking, complemented by 2 Vicon RGB cameras for synchronized high-speed video recording and visual reference. Inertial Tracking: 10x Vicon BlueTrident IMUs are available to track movements outside the optical volume or to provide hybrid optical-inertial data for algorithm training. Auxiliary Equipment: A dedicated camera (Maike) is available for additional recording angles, and 2x Apple iPhone SE 2022 devices are used to test mobile applications. Software: Data acquisition and reconstruction are handled via Vicon software. Agisoft Metashape Pro is available for advanced photogrammetry and 3D environment/subject modeling. Standards: Procedures and data management can align with Medical Device Regulations EU/2017/745 for relevant clinical applications. Service customization The capture volume and sensor configuration are fully customizable. Clients can define specific marker sets (from minimal lower-body sets to full-body anatomical models) depending on the movement being analyzed. The service can also be configured to collect synchronous optical and IMU data to help developers train sensor-fusion algorithms.

Centre Hospitalier Universitaire De Rennes (CHU RENNES)

Motion lab; platform, body, movement, rehabilitation, sport, ergonomics, clinical, real world, GAIT analysis

Politecnico Di Milano (POLIMI)

This service offers a 3D MULTIFACTORIAL INTEGRATED POSTURE and MOVEMENT ANALYSIS using: Optoelectronic systems; wearable inertial measurement units; Force platforms; Baropodometric platform; Surface electromyography; Metabolimeter; portable 3D Laser Scanner. This service, performed in a MOTION ANALYSIS LABORATORY, will offer: 1) DATA ACQUISITION and DATA ELABORATION relative to THE BIOMECHANICS of MOVEMENT for total body analysis (gait, posture, jump, sit to stand, …) and for specific district (upper limb assessment, trunk, hand, face, …) in the clinical/sport/ergonomics fields; 2) CLINICAL SERVICE: DATA ACQUISITION, DATA ELABORATION and REPORT CREATION for Gait Analysis test according to ESMAC standards; 3) DEVICE TESTING to verify the measurement ACCURACY; 4) COURSES and TRAINING for clinicians/technicians working in a motion analysis laboratory. Keyword: Motion Analysis, Data Acquisition, Data Elaboration, Biomechanics, Clinical, Sport, Ergonomy, Device Testing, Courses, Training

Metropolia Ammattikorkeakoulu Oy (METROPOLIA)

Movement laboratory equipped with 3D movement analysis system featuring infrared cameras and force plates. Plantar pressure sensors, isokinetic dynamometer, breath gas analyzer, ultrasonic imaging and body composition analyzer. Helping with research questions (user, customer experience, etc.) Helping with the research design and conducting the research, analysis. Video recording

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Who Can Benefit:** - MedTech & AI Companies: For obtaining high-quality, ethically sourced clinical datasets to fuel algorithm development without navigating hospital bureaucracy. - Clinical Researchers: For systematic, regulation-compliant data collection with full documentation and audit trail. **Key Features:** - End-to-end management of ethical approval processes (ethics committee submission, informed consent design) - Prospective data collection within Universitätsklinikum Erlangen clinical departments - Expert clinical annotation and ground truth labeling by domain specialists - Full GDPR compliance with pseudonymization/anonymization pipelines - Structured data output compatible with downstream AI training and analysis workflows **Possible Applications:** - Wearable Sensor Studies (e.g. Cardiology): Prospective collection of continuous ECG, PPG, or blood pressure data from cardiac patients for digital biomarker development and remote monitoring algorithm training. - Motion & Gait Analysis (Biomechanics): Systematic acquisition of IMU, force plate, and motion capture data in clinical and sports lab settings for movement disorder assessment, rehabilitation tracking, or athletic performance evaluation. - Neurological Signal Acquisition: Collection of EEG, EMG, or tremor sensor data from neurological patient cohorts to support AI-based diagnostic or therapy monitoring tools. - Real-World Evidence Datasets: Longitudinal data collection from ambulatory patients in everyday settings, enabling the development of algorithms that generalize beyond controlled lab environments. - Athletic Performance & Injury Prevention: Structured data gathering during sports science testing protocols to build datasets for injury risk prediction, load monitoring, and return-to-play decision support. - Multi-Modal Clinical Datasets: Combined collection of sensor data, imaging, lab values, and patient-reported outcomes to enable holistic, multi-modal AI model development. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).

Fondazione Istituto Italiano Di Tecnologia (IIT)

This service provides a complete testing setup for gait analysis, motion capture and IEC 10328 compliance for robotic exoskeletons and prostheses. It also provides support and recommendations about how to design and develop robotic rehabilitation systems compliant to IEC 60601-1 standard. Method Description: The service will perform an assessment of wearable robotics solutions (e.g. exoskeletons and prostheses) by using a combination of the following resources: VICON workstation with 12 cameras, sensorized treadmill, force platforms, surface electromyograph, metabolimeter. Method reference: Tests will be based on standards, most notably IEC 10328, when applicable. Otherwise, based on scientific methods for gait analysis. Keywords: robotics; healthcare robotics; prosthesis; orthosis; exoskeleton; testing setup.

Politecnico Di Milano (POLIMI)

This service offers the design of usability and clinical trials for the evaluation of exoskeleton both for the assistance of persons with disabilities and for the support of workers. The evaluation is based on a benchmarking scheme of upper limb functions capacity through a Motion Analysis Laboratory equipped with optoelectrontric systems or wearable inertial units, force platforms, surface electromyiograph, baropodometric platform. The service will be provided in collaboration with the clinical center "Villa Beretta" (Lecco). Keywords: Upper Limb Exoskeleton, Motion Analysis Laboratory, EMG, Benchmarking schemes, Design of Clinical Evaluation