High-density surface and intramuscular EMG sensors for neuroprosthesis applications
Prof. Silvia Muceli
Chalmers University of Technology
Sweden
DEIB - Carlo Erba Room (Bld. 7)
January 19th, 2024
10.00 am
Contacts:
Emilia Ambrosini
Research Line:
Technologies for diagnosis, therapy and rehabilitation
Chalmers University of Technology
Sweden
DEIB - Carlo Erba Room (Bld. 7)
January 19th, 2024
10.00 am
Contacts:
Emilia Ambrosini
Research Line:
Technologies for diagnosis, therapy and rehabilitation
Sommario
On January 19th, 2024 at 10.00 am Silvia Muceli, PhD Signal Processing and Biomedical Engineering, Electrical Engineering at Chalmers University of Technology, will hold an online seminar on "High-density surface and intramuscular EMG sensors for neuroprosthesis applications" in DEIB Carlo Erba Room (Building 7).
High-density electrodes allows the decomposition of the EMG signals into the constituent trains of motor unit action potentials, where motor units are the elemental units constituting our muscles. This property allows us to access the spinal cord output via recordings from the muscles. In this seminar, I will focus on high-density EMG electrode design and development, signal processing techniques to decompose the EMG signals, and applications in the control of neural prostheses.
High-density electrodes allows the decomposition of the EMG signals into the constituent trains of motor unit action potentials, where motor units are the elemental units constituting our muscles. This property allows us to access the spinal cord output via recordings from the muscles. In this seminar, I will focus on high-density EMG electrode design and development, signal processing techniques to decompose the EMG signals, and applications in the control of neural prostheses.
Biografia
Silvia Muceli is an Associate Professor in Neural Engineering at Chalmers University of Technology in Gothenburg. She received her master’s degree in Electronics Engineering from the University of Cagliari and PhD in Biomedical Science and Engineering from Aalborg University. She completed postdoctoral training at the University Medical Center Göttingen and Imperial College London. She then joined Chalmers as Assistant Professor. Her research focuses on the development of high-density electrodes for electromyography and methods for EMG signal processing with applications in motor control. Her research interests also include biomedical signal modelling, sensorimotor development, and prosthetic control.
She is a member of the Editorial Board of the Journal of Electromyography and Kinesiology, a member of the Council of the International Society of Electrophysiology and Kinesiology (ISEK), a Senior member of the IEEE, treasurer of the Swedish Section of IEEE Women in Engineering and organizing committee member of the Workforce for Inclusive Science at Chalmers. Scientific area: Technologies / Signal Processing.
She is a member of the Editorial Board of the Journal of Electromyography and Kinesiology, a member of the Council of the International Society of Electrophysiology and Kinesiology (ISEK), a Senior member of the IEEE, treasurer of the Swedish Section of IEEE Women in Engineering and organizing committee member of the Workforce for Inclusive Science at Chalmers. Scientific area: Technologies / Signal Processing.