Subproject D01

Subproject D01

Hand Motion Patterns Derived from Empatho-Kinaesthetic Sensor Data as a Diagnostic Parameter for Disease Activity in Patients with Rheumatic Diseases

D01 is a team of rheumatologists and movement scientists that are investigating on objective monitoring of function in patients with auto-inflammatory rheumatic diseases with the overall aim to support disease monitoring to enable a timely and optimal medical treatment. To better understand how these diseases affect the movement of the hands, they measured grip strength and fine motor skills in patients and healthy individuals and used a state-of-the-art marker-based motion capture technology to analyze a set of different hand movement tasks. Comparing these functional outcomes with clinical parameters D01 will follow a holistic approach to objectively assess muscle and skeletal function in relation to disease activity.

D01 collected data under standardized conditions on the current disease status of patients with rheumatoid arthritis (RA) and psoriatic arthritis (PsA), in combination with a comprehensive clinical test battery of hand function as well as comparative data from a healthy cohort.  The analysis will focus on the interaction of the functional movement data with clinical scores like the grade of synovitis and tenosynovitis detected by ultrasonography and clinical disease activity scores. Previous results highlighted sex- and age-based differences in functional tasks. Therefore ongoing analysis will focus on classifying objective biomarkers based on these groups and within the two different condition of RA and PsA to find the best suited parameters for objective functional monitoring.

EmpkinS technologies will enable the unconfined assessment of hand function in the clinical routine and daily life with the goal of monitoring disease activity with objective biomarkers of hand movement.

Contacts

PD Dr. sport.science Dr. habil. med. Anna-Maria Liphardt

Principal Investigator

Prof. Dr. med. Georg Schett

Principal Investigator

Birte Luise Coppers

Doctoral Candidate

Ines Ebner

Associated Doctoral Candidate

Elie-Tino Godonou

Associated Doctoral Candidate

 

Dr. med. Sara Bayat

Clinician Scientist

 

 

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
  • 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.:
    AB0208 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
  • Heinrich S., Coppers B., Liphardt AM., Leyendecker S.:
    Optimal Control Simulation of Full Hand Flexion MovementsExploiting Optical Marker Tracking
    Scientific Meetings of ANZSB & ANZORS 2024
  • Heinrich S., Michaelis J., Reiher I., Coppers B., Lohmayer M., Fleischmann ME., Kleyer A., Schett G., De Craemer AS., Elewaut D., Leyendecker S., Liphardt AM.:
    Comparison and Improvement of CyberGlove III calibration methods
    In: IEEE Sensors 24 (2024). ISSN: 2168-9229. DOI: 10.1109/JSEN.2024.3376606
  • 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: 10.1016/j.bspc.2024.106474
  • Schweiger I., Koschinsky J., Elie-Tino G., Tascilar K., Coppers B., Kleyer A., Morf H., Simon D., Bayat S., Bohr D., Valor L., Raimondo MG., Ramming A., Schönau V., Knitza J., Schett G., Liphardt AM.:
    THE IMPACT OF KINESIOPHOBIA ON GAIT KINEMATICS IN PATIENTS WITH SPONDYLOARTHROPATHIES
    In: Annals of the Rheumatic Diseases (2024), S. 1773.2-1774. ISSN: 0003-4967. DOI: 10.1136/annrheumdis-2024-eular.5381
  • Coppers B., Bayat S., Elie-Tino G., Valor-Mendez L., Fagni F., Corte G., Tascilar K., Hueber A., Schönau V., Sticherling M., Schett G., Kleyer A., Liphardt AM.:
    Does Subjectively Perceived Loss Of Hand Function Sufficiently Represent Ultrasonography-Detected Synovitis And Tenosynovitis In Patients With Psoriasis And Psoriatic Arthritis?
    European Alliance of Association for Rheumatology (EULAR) Congress 2023. DOI: 10.1136/annrheumdis-2023-eular.2286
  • Coppers B., Bayat S., Elie-Tino G., Valor-Mendez L., Simon D., Corte G., Tascilar K., Hueber A., Bohr D., Schönau V., Sticherling M., Schett G., Kleyer A., Liphardt AM.:
    Objective and subjective hand function reflect grade of tenosynovitis in patients with psoriasis and psoriatic arthritis
    Deutsche Gesellschaft für Rheumatologie Kongress 2023
  • Liphardt AM., Elie-Tino G., Dreiner M., Mündermann A., Tascilar K., Djalal N., Heer M., Schett G., Zaucke F., Niehoff A.:
    Immobilization by 21 days of bed rest results in type II collagen degradation in healthy individuals
    In: Osteoarthritis and Cartilage (2023). ISSN: 1063-4584. DOI: 10.1016/j.joca.2023.11.007
  • Mündermann A., Liphardt AM., Herger S.:
    In vivo models of human articular cartilage mechanosensitivity
    Elsevier, 2023. ISBN: 9780323905978. DOI: 10.1016/B978-0-323-90597-8.00017-7
  • Bayat S., Tascilar K., Bohr D., Krönke G., Simon D., Knitza J., Hartmann F., Schett G., Kleyer A.:
    Efficacy and drug persistence of baricitinib monotherapy is similar to combination therapy in patients with active RA: a prospective observational study
    In: RMD Open 8 (2022), Art.Nr.: e002674. ISSN: 2056-5933. DOI: 10.1136/rmdopen-2022-002674
  • 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. 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 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
  • Folle L., Simon D., Tascilar K., Krönke G., Liphardt AM., Maier A., Schett G., Kleyer A.:
    Deep Learning-Based Classification of Inflammatory Arthritis by Identification of Joint Shape Patterns—How Neural Networks Can Tell Us Where to “Deep Dive” Clinically
    In: Frontiers in Medicine 9 (2022). ISSN: 2296-858X. DOI: 10.3389/fmed.2022.850552
  • Phutane U., Liphardt AM., Bräunig J., Penner J., Klebl M., Vossiek M., Kleyer A., Schett G., Leyendecker S.:
    Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis — A Pilot Study
    In: Sensors 21 (2021), Art.Nr.: 1208. ISSN: 1424-8220. DOI: 10.3390/s21041208