In this workshop, we will introduce control techniques for myoelectric prostheses. Specifically, we will present methods for EMG recording and processing aimed at controlling multifunction prostheses. Every day, a time slot will be dedicated to hands-on exercises where the participants will be able to use instruments and tools provided by the organizers.
Silvia Muceli received the M.Sc. degrees in Electronics Engineering from the University of Cagliari, Cagliari, Italy, in 2007, and the Ph.D. degree at The International Doctoral School in Biomedical Science and Engineering, Center for Sensory-Motor Interaction (SMI), Aalborg University, Aalborg, Denmark, in 2013. Her main research interests concern surface and intramuscular electromyography, signal processing of biomedical signals, modularity in human motor control, advanced prosthetic control, bioelectrode design.
She is currently Postdoctoral Researcher at the Institute of Neurorehabilitation Systems, University Medical Center Göttingen, Georg-August University, Germany, within the Bernstein Center for Computational Neuroscience (BCCN).
– Introduction to prosthetics
– Prosthetics components
– Myoelectric prostheses
– Electromyographic signal generation & detection
– Practice on EMG signal acquisition
– EMG signal processing for myoelectric control
– Motion classification
– Methods for evaluating myoelectric control systems
– DEMO on pattern recognition control
– EMG processing for simultaneous and proportional control of prosthetics functions
Clinical researchers and engineers interested in prosthesis control.
Basic knowledge of MATLAB scripting.
HW/SW that the participant need to bring/install
Laptop. Windows Operating System. Matlab.