Speaker: Dr. Fabian Just, Center For Bionics & Pain Research, Chalmers University of Technology, Göteborg, Schweden
Die Teilnahme ist kostenfrei.
Abstract: Recent advancements in the fields of osseointegration, targeted muscle reinnervation, and myoelectric pattern recognition have generated a heightened demand for prosthetic limbs that are both reliable and versatile. Enhancing the bidirectional control loop between the prosthesis and the human body is crucial for achieving effective control and providing tactile feedback to the brain.
In this presentation, we introduce a cutting-edge prosthetic arm system designed for everyday use, developed at the Center of Bionics and Pain in Göteborg, Sweden. Our innovative approach incorporates osseointegration and a self-contained design. Through the integration of intramuscular electrodes and novel surgical techniques, such as targeted muscle reinnervation, we facilitate greater degrees of freedom for myoelectric control. The self-contained system employs machine learning algorithms to interpret motion intent, steering myoelectric prostheses seamlessly through all-day life for several years now.
In a recent study, we enhanced the accuracy of machine learning classification through post-processing techniques, resulting in a more dependable control of the prosthesis. Additionally, our efforts to refine the bidirectional control loop involve successfully filtering electric stimulation artifacts with algorithms. This allows for simultaneous control and tactile stimulation, significantly enhancing the overall experience for prosthetic users. Furthermore, we developed a novel electrical human-machine connector. This innovation aimed to improve the bionic interface, which lead to better patient usability and acceptability.