In this workshop, we will introduce techniques for surface and intramuscular EMG recordings to estimate the neural signal sent to muscles from the output layer of the spinal cord circuitries. Specifically, we will present methods for single and multi-channel EMG decomposition and their applications in neurorehabilitation, such as in prosthetics and neurofeedback. Students will be engaged in recording and processing EMG signals using 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.
Francesco Negro received the M.Sc. degree in telecommunication engineering from the Politecnico di Torino, Torino, Italy, in November 2005, and the Ph.D. degree in biomedical engineering from Aalborg University, Aalborg, Denmark, in April 2011. From 2006 to 2010, he was a Research Assistant and Ph.D. Fellow at Aalborg University. His research interests include applied physiology of the human motor system, signal processing of intramuscular and surface electromyography and modeling of spinal neural networks.
Utku S. Yavuz received the M.Sc. degree in biophysics in 2006 from the Hacettepe University, Ankara, Turkey, and the Ph.D. degree in biophysics in 2012 from Ege University, Izmir, Turkey. He worked as a Research Assistant in Ege University, Marie Curie Chair, Gender Reflex Project from 2007 to 2010 and as Postdoctoral Researcher in Department of Orthobionic at Georg August University of Göttingen, Germany. His research focuses on neural control of movement, human reflexes and neurorehabilitation.
The three organizers are 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).
Same as organizers.
Every day, a time slot will be dedicated to hands-on exercises where the participants will be able to practice the acquisition and analysis of EMG signals.
Clinical researchers and engineers interested in recording and processing EMG signal with emphasis on single motor unit activity and applications in neurorehabilitation.
Basic knowledge of MATLAB scripting.
Topics in which the PhD students will get insight
Generation of EMG signals, processing and analysis of single and multichannel EMG, clustering and blind source separation techniques for EMG signal decomposition, estimation of the neural drive to muscle for man-machine interface.
HW/SW that the participant need to bring/install
Laptop. Windows Operating System. Matlab.