Hand Motion Patterns Derived from Empathokinaesthetic Sensor Data as a Diagnostic Parameter for Disease Activity in Patients with Rheumatic Diseases (D01)

• Subject Area: Rheumatology
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 442419336

In a standardized stetting a comprehensive clinical status of disease activity will be assessed in patients (N = 150) with RA and PsA in combination with an extensive collection of clinical hand function data. An identical data set will be collected for healthy control subjects (N = 75). The parallel assessment of hand function with „state-of-the-art“ motion capture sensor system will provide a critical foundation for the experimental evaluation and integrated data interpretation with the newly developed hardware within EmpkinS (Projects A01, A02 and A03), which will be implemented for hand function assessments starting in the second half of the first funding period.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1483: Empathokinaesthetic Sensor Technology – Sensor Techniques and Data Analysis Methods for Empathokinaesthetic Modeling and Condition monitoring
• Applicant Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg
• Project Heads: Privatdozent Dr. Arnd Kleyer; Dr. Anna-Maria Liphardt; Professor Dr. Georg Schett