Projektakademie Medizintechnik: Biosignal based prediction of joint movements for mechatronic support systems with adaptive multi domain models

• Applicant: Professor Dr. Axel Schneider
• Subject Area: Medical Physics, Biomedical Technology
• Term: from 2016 to 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 345871852

The proposed project is supposed to optimize the precision of joint-muscle-models by expanding the neurobionic and biomechanic model topology to reduce the phase-shift between the movement of the biological and technical system during operation of body support devices (e.g. orthosis). Especially during very slow (up to complete stop) and very fast movements, current models fail. This can be improved by the integration of tribological models (bristle, stiction, friction, hysteresis-effects etc.). Additionally, black-box approaches will be applied to identify yet unknown biological aspects and represent those as partial models. The developed models are mainly driven by emg-signals and will be fused with additional signal sources (mechanical pressure between device and biological system etc.). Learning and optimization methods are used to adapt the models online.

• DFG Programme: Research Grants