• Navigation überspringen
  • Zur Navigation
  • Zum Seitenende
Organisationsmenü öffnen Organisationsmenü schließen
Friedrich-Alexander-Universität EmpkinS
  • FAUZur zentralen FAU Website
Suche öffnen
  • Campo
  • StudOn
  • FAUdir
  • Stellenangebote
  • Lageplan
  • Hilfe im Notfall
Friedrich-Alexander-Universität EmpkinS
Menu Menu schließen
  • About
    • CRC EmpkinS
    • Definitions
    • Overview
    • EmpkinSLab
    Portal About
  • People
  • Research
    • Overview
    • Research Program
    • Sub-Projects
    • Publications
    • Awards
    • GAPs
    • Collaborations
    • Research stay abroad
    Portal Research
  • Activities
    • Involvement
    • Events
      • Internal Events
      • Public Events
      • Scientific Events
    • Equal Opportunities
    • News
    Portal Activities
  • iRTG
    • Introduction to iRTG
    • Supporting Program
    • Supervision Agreement
    • iRTG Events / Calendar
    • Call for Scholarship Applications
    • Research stay abroad
    Portal iRTG
  1. Startseite
  2. Research
  3. Sub-Projects
  4. Subproject C04

Subproject C04

Bereichsnavigation: Research
  • Overview
  • Research Program
  • Sub-Projects
    • Subproject A01
    • Subproject A02
    • Subproject A03
    • Subproject A04
    • Subproject A05
    • Subproject B01
    • Subproject B02
    • Subproject B03
    • Subproject B04
    • Subproject C01
    • Subproject C02
    • Subproject C03
    • Subproject C04
    • Subproject D01
    • Subproject D02
    • Subproject D03
    • Subproject D04
    • Subproject D05
    • Subproject E
  • Collaborations
  • GAPs
  • Awards

Subproject C04

Subproject C04

Analysis of Degenerative Motion Impairments through Integration of Empatho-Kinaesthetic Sensor Data in Biomechanical Human Models

Analysis of Degenerative Motion Impairments through Integration of Empatho-Kinaesthetic Sensor Data in Biomechanical Human Models

The goal of sub-project C04 is the best possible integration of empathokinesthetic sensor data into biomechanical models. C04 focuses on improving the simulation of human hand movement to find new biomarkers for specific diseases. This is done by including data generated from different sensors that measure position, acceleration, and muscle activity. Specifically, degenerative movement restrictions of the hand are recorded by EmpkinS and reference sensor technology. These data are then optimally integrated into the mathematical formulation of the optimal control problem depending on data type, measurement frequency, measurement uncertainty, etc. These simulations will help to understand many diseases such as inflammatory arthritis, so we are then able to predict impaired movements and find new biomarkers to monitor the disease continuously.

Eventually, these insights in optimal data inclusion can be applied to general human movement.

 

 

 

Externen Inhalt anzeigen

An dieser Stelle sind Inhalte eines externen Anbieters (YouTube) eingebunden. Beim Anzeigen können Daten an Dritte übertragen oder Cookies gespeichert werden, deshalb ist Ihre Zustimmung erforderlich.

Weitere Informationen und die Möglichkeit zum Widerruf finden Sie in unserer Datenschutzerklärung.

Ich stimme zu

Contacts

Sigrid Leyendecker

Prof. Dr.-Ing. habil. Sigrid Leyendecker

Principal Investigator

Simon Heinrich

Simon Heinrich, M. Sc.

Doctoral Candidate

 

 

Additional Information

  • Coppers B., Heinrich S., Tascilar K., Phutane U., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau V., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Sensor-assessed grasping time as a biomarker of functional impairment in rheumatoid arthritis.
    In: Scientific Reports 15 (2025), Art.Nr.: 6018. ISSN: 2045-2322. DOI: 10.1038/s41598-025-90295-7
  • Lavaill M., Chen X., Heinrich S., Pivonka P., Leyendecker S.:
    Muscle path predictions using a discrete geodesic Euler–Lagrange model in constrained optimisation: comparison with OpenSim and experimental data.
    In: Multibody System Dynamics (2025). ISSN: 1384-5640. DOI: 10.1007/s11044-025-10055-3
  • Port H., Coppers B., Liehr S., Manger E., Niemiec L.M., Bayat S., Simon D., Fagni F., Corte G., Bay-Jensen A.C., Tascilar K., Hueber A., Schmidt K.G., Schönau V., Sticherling M., Heinrich S., Leyendecker S., Bohr D., Schett G., Kleyer A., Holm Nielsen S., Liphardt A.M.:
    Serum extracellular matrix biomarkers in rheumatoid arthritis, psoriatic arthritis, and psoriasis and their association with hand function.
    Scientific Reports, vol. 15, no. 1, p. 13656, April. 2025. DOI: 10.1038/s41598-025-98395-0
  • Blazek V., Loy N., Jukic E., Coppers B., Fleischmann ME., Hübner J., Iqbal M., Heinrich S., Scheiterer E., Leyendecker S., Greenfield J., Labinski H., Raimondo MG., Ramming A., Schönau V., Schett G., Knitza J., Liphardt AM.:
    Towards Objective Measurement Of Spinal Mobility In Axial Spondyloarthritis – Benchmarking An Inertial Measurement Unit System With An Optical Measurement System
    In: Annals of the Rheumatic Diseases (2024), S. 1774-1775. ISSN: 0003-4967. DOI: 10.1136/annrheumdis-2024-eular.5778
  • Bräunig J., Heinrich S., Coppers B., Kammel C., Wirth V., Stamminger M., Leyendecker S., Liphardt AM., Ullmann I., Vossiek M.:
    A Radar-Based Concept for Simultaneous High-Resolution Imaging and Pixel-Wise Velocity Analysis for Tracking Human Motion
    In: IEEE Journal of Microwaves 4 (2024), S. 639-652. ISSN: 2692-8388. DOI: 10.1109/JMW.2024.3453570
  • Coppers B., Heinrich S., Bayat S., Tascilar K., Kleyer A., Simon D., Minopoulou I., Corte G., Fagni F., Schönau V., Bohr D., Leyendecker S., Schett G., Liphardt AM.:
    Reduced Hand Function Indicates Higher Disease Activity In Patients With Rheumatoid And Psoriatic Arthritis
    In: Annals of the Rheumatic Diseases (2024), S. 1342.1-1342. ISSN: 0003-4967
    DOI: 10.1136/annrheumdis-2024-eular.1112
  • Loy N., Blazek V., Jukic E., Fleischmann ME., Coppers B., Hübner J., Iqbal M., Heinrich S., Scheiterer E., Leyendecker S., Greenfield J., Labinski H., Raimondo MG., Ramming A., Schönau V., Schett G., Knitza J., Liphardt AM.:
    Fear Of Movement Affects Range Of Motion During Repeated Basmi Exercises Assessed By State-Of-The-Art Motion Capture Techniques
    In: Annals of the Rheumatic Diseases (2024), S. 936.3-937. ISSN: 0003-4967. DOI: 10.1136/annrheumdis-2024-eular.5298
  • Nitschke M., Dorschky E., Leyendecker S., Eskofier B., Koelewijn A.:
    Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations
    In: Frontiers in Bioengineering and Biotechnology 12 (2024). ISSN: 2296-4185. DOI: 10.3389/fbioe.2024.1285845
  • Scheiterer E., Heinrich S., Liphardt AM., Leyendecker S.:
    Marker position uncertainty in joint angle analysis for normal human gait — A new error-modelling approach
    In: Biomedical Signal Processing and Control 95 (2024), Art.Nr.: 106474. ISSN: 1746-8094. DOI: doi.org/10.1016/j.bspc.2024.106474
  • Fleischmann S., Shanbhag J., Miehling J., Wartzack S., Leyendecker S., Koelewijn A., Eskofier B.:
    Time vs. Space: Comparing gait cycle normalization methods and their effect on foot placement control
    28th Congress of the European Society of Biomechanics (Maastricht, 9 Juli 2023 – 12 Juli 2023)
  • Heinrich S., Coppers B., Liphardt AM., Leyendecker S.:
    On the inclusion of motion capture data in optimal control simulations of the human hand
    18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (Paris, 3 Mai 2023 – 5 Mai 2023)
  • Heinrich S., Coppers B., Liphardt AM., Leyendecker S.:
    Inclusion of optical marker position data in optimal control simulations of a rigid body model of the human hand
    ECCOMAS – 11th Thematic Conference on Multibody Dynamics (Lisboa, 24 Juli 2023 – 28 Juli 2023)
  • Lützow L., Teckenburg I., Koch V., Marxreiter F., Jukic J., Stallforth S., Regensburger M., Winkler J., Klucken J., Gaßner H.:
    The effects of an individualized smartphone-based exercise program on self-defined motor tasks in Parkinson’s disease: A long-term feasibility study.
    J Patient Rep Outcomes, vol. 7, no. 1, p. 106, 2023. DOI: 10.1186/s41687-023-00631-6
  • Nitschke M., Marzilger R., Leyendecker S., Eskofier B., Koelewijn A.:
    Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data
    PeerJ (2023)
  • Port Linares H., Coppers B., Bayat S., Elie-Tino G., Fagni F., Corte G., Bay-Jensen AC., Tascilar K., Hueber A., Schönau V., Sticherling M., Heinrich S., Bohr C., Schett G., Kleyer A., Leyendecker S., Nielsen SH., Liphardt AM.:
    Blood-Based Biomarkers of Inflammation and Tissue Remodeling Can Discriminate Between Rheumatoid Arthritis, Psoriasis, and Psoriatic Arthritis and Are Associated with Hand Function
    American College of Rheumatology Convergence (San Diego, 14 November 2023 – 19 November 2023)
  • Schubert M., Sato Martin de Almagro R., Nachbagauer K., Ober-Blöbaum S., Leyendecker S.:
    Discrete Adjoint Method for Variational Integration of Constrained ODEs and Optimal Control of Geometrically Exact Beam Dynamics
    Multibody System Dynamics (2023)
  • Shanbhag J., Wolf A., Wechsler I., Fleischmann S., Winkler J., Leyendecker S., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
    Methods for integrating postural control into biomechanical human simulations: A systematic review
    Journal of NeuroEngineering and Rehabilitation (2023)
  • Wirth V., Liphardt AM., Coppers B., Bräunig J., Heinrich S., Leyendecker S., Kleyer A., Schett G., Vossiek M., Egger B., Stamminger M.:
    Markerless RGB-D Hand Pose Estimation for Activity Monitoring of Musculoskeletal Diseases
    IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23) (Pittsburgh, USA, 15 Oktober 2023 – 18 Oktober 2023)
  • Wirth V., Liphardt AM., Coppers B., Bräunig J., Heinrich S., Leyendecker S., Kleyer A., Schett G., Vossiek M., Egger B., Stamminger M.:
    ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty
    In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2023
  • Coppers B., Heinrich S., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau J., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Feasibility of using optoelectronic measurement of hand movement for characterizing hand function in rheumatoid arthritis
    75th EULAR (European Alliance of Associations for Rheumatology), European Congress of Rheumatology 2022 (Copenhagen, 1 Juni 2022 – 4 Juni 2022). DOI: 10.1136/annrheumdis-2022-eular.1741
  • Coppers B., Heinrich S., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau V., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Evaluation of marker-based motion capturing to charactherize basic hand movements in rheumatic patients
    27th Congress of the European Society of Biomechanics (Porto, 26 Juni 2022 – 29 Juni 2022)
  • Coppers B., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau V., Heinrich S., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Establishment and evaluation of a sensor-based method to assess hand function in patients with rheumatoid arthritis
    World Biomechanics Congress 2022 (Taipei (online), 10 Juli 2022 – 14 Juli 2022)
  • Heinrich S., Phutane U., Coppers B., Liphardt AM., Leyendecker S.:
    Towards optimal control grasping simulations with the full hand
    9th GACM Colloquium on Computational Mechanics – for Young Scientists from Academia and Industry (Essen, 21 September 2022 – 23 September 2022)
  • Heinrich S., Phutane U., Penner J., Coppers B., Liphardt AM., Leyendecker S.:
    Comparison of different approaches for the personalization of a kinematic hand model
    World Biomechanics Congress 2022 (Taipei (Online), 10 Juli 2022 – 14 Juli 2022)
  • Scheiterer E., Heinrich S., Leyendecker S.:
    Considering epistemic uncertainty in optical marker based joint angle calculation during human gait
    WCCM-APCOM 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (Yokohama, online, 31 Juli 2022 – 5 August 2022)
  • Phutane U., Liphardt AM., Bräunig J., Penner J., Klebl M., Vossiek M., Kleyer A., Schett G., Leyendecker S., Tascilar K.:
    Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis — A Pilot Study
    Sensors 2021
Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
  • Imprint
  • Privacy
  • Accessibility
  • Intranet
  • Instagram
  • X
  • LinkedIn
  • Youtube
Nach oben