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.

 

 

 

Contacts

Principal Investigators

Prof. Dr.-Ing. habil. Sigrid Leyendecker

Department of Mechanical Engineering
Institute of Applied Dynamics (LTD, Prof. Leyendecker)

Doctoral Candidates

Simon Heinrich, M. Sc.

Department of Mechanical Engineering
Institute of Applied Dynamics (LTD, Prof. Leyendecker)

Matthias Schubert, M. Sc.

Department of Mechanical Engineering
Institute of Applied Dynamics (LTD, Prof. Leyendecker)

 

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