WS1 - Multi-channel surface EMG: techniques and applications
Multi-channel surface EMG uses mono or bi-dimensional electrode arrays to detect surface EMG (sEMG). Bi-dimensional electrode arrays provide a 3D representation of the electrical potential on the skin over one muscle or a group of muscles. The first two dimensions are the 2D coordinates of electrodes on the skin surface and the third dimension is time. Potentials measured by surface electrodes provide an "image" at every sample instant which evolves in time like a movie. This time evolution can be observed in different scales that define the level of details available. The highest degree of detail can be observed by every single sample (local scale) whereas, by averaging sampled values over space or time, details are lost and a more global presentation of events is obtained (global scale). The local scale supports the extraction of information on the individual MUAPs and their firing patterns. The global scale shows patterns of activation of individual muscles and muscle groups. This workshop will introduce the multi-channel sEMG technique through the basic concepts about the signal detection and conditioning, the extraction of neuromuscular system anatomical, peripheral, and central information, the applications in neurorehabilitation and neuroprosthetics. The workshop will provide one hands-on session during which the participants will be able to practice the acquisition and analysis of multi-channel sEMG.
Prof. Roberto Merletti, PhD, Full Professor, Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino. Director of the Laboratory for Engineering of the Neuromuscular System (LISiN), COREP-Politecnico di Torino Prof. Dario Farina. PhD, Full Professor and Founding Chair of the Department of Neurorehabilitation Engineering, University Medical Center Goettingen Dr. Marco Gazzoni, PhD, Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino.
The Workshop participants will learn and carry out all the steps to detect and interpret multi-channel sEMG signals. They will learn the basics about multi-channel sEMG recording, how the detected signals can be interpreted and the new frontiers this technique opens in neuro-rehabilitation.
Dr. Umberto Barone, PhD, Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino. Expert in the design of hardware and firmware development for the detection and conditioning of electrophysiological signals. Prof. Dario Farina PhD, Full Professor and Founding Chair of the Department of Neurorehabilitation Engineering, University Medical Center Goettingen. Expert in Biomedical signal processing, modeling, neurorehabilitation technology, neural control of movement. Dr. Juan Álvaro Gallego Ph.D. Bioengineering Group, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain. Expert in the study of neurophysiology of healthy and pathological conditions, with special focus on tremor. Dr. Marco Gazzoni, PhD, Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino. Expert in HD-EMG detection systems and processing. Prof. Ales Holobar, PhD, Associate professor. Expert in compound source separation and adaptive online processing of biomedical signals. Prof. Roberto Merletti, PhD, Full professor, Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino. Director of the Laboratory for Engineering of the Neuromuscular System (LISiN), COREP-Politecnico di Torino
Number of hours
Total 9 hours: 5.5 hours theoretical lessons & 3.5 hours practical hands-on exercises.
|Sept 16||Sept 17||Sept 18|
|14.30-16.00||Merletti R. Multi-channel sEMG: an introductionBarone U. Multi-channel sEMG: detection and conditioning||Holobar A. Single MU analysis by means of multi-channel sEMG decompositionFarina D. Multi-channel sEMG for the extraction of central neuromuscular system information||Hands-on Positioning of the detection systems on different musclesSignal acquisition during isometric contractions Signal quality checkInterpretation of the raw signals for the identification of anatomical muscle characteristics|
|16.30-18.00||Gazzoni M. Multi-channel sEMG for the extraction of anatomical and peripheral neuromuscular system informationGazzoni M., Barone U. Multi-channel sEMG practical demonstration||Gallego J. Multi-channel sEMG for the investigation of the pathophysiology of the most common movement disorder: tremorFarina D. Multi-channel sEMG for neurorehabilitation, neuroprosthetics||Hands-onSignal acquisition during dynamic contractionsDecomposition of the signals detected recorded during the hands-on in isometric conditions|
Both clinical and engineering profiles. This Workshop is designed for students with interest in the new methods for the detection and processing of sEMG signals and the study of neuromuscular system
No required knowledge.
Topics in which the PhD students will get insight
Neuromuscular system analysis by means of multi-channel surface EMG technique.
HW/SW that the participant need to bring/install