Miriam Roccazzella
Hardware and Software sEMG-based Analyses for Stimulation Artifact Suppression.
Rel. Danilo Demarchi, Paolo Motto Ros, Fabio Rossi, Andrea Mongardi. Politecnico di Torino, Master of science program in Electronic Engineering, 2021
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (10MB) | Preview |
Abstract
Functional Electrical Stimulation (FES) is currently one of the most used technique for muscle rehabilitation in order to help the patient in the recovery of voluntary movement by controlling muscle contraction and functional recovery. A physiotherapist-patient system, such as the one used for this thesis, implies the presence of two subjects: the physiotherapist who performs a certain movement and the patient to whom the same movement is induced by electrostimulation. To obtain this result, the stimulation pattern derives from the analysis of the surface ElectroMyoGraphic (sEMG) signal, taken by the physiotherapist during the execution of the movement, which determines the amplitude of the FES impulse.
Once extrapolated, the electrostimulation pattern is applied to the second subject (the patient) to induce movement replication
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
URI
![]() |
Modify record (reserved for operators) |
