Thesis Project Form
Title (tentative): Correlation between EMG and EEG activity during a motor task| Thesis advisor(s): Sanguineti Vittorio, Dante Mantini (Katholieke Universiteit Leuven, Belgio), Marianna Semprini (Fondazione Istituto Italiano di Tecnologia, Genova) | E-mail: |
| Address: Via All'Opera Pia, 13 - 16145 Genova | Phone: (+39) 010 33 56487 |
Description
Motivation and application domain
Robots are currently used to enable stroke survivors to perform intensive training under the influence of assistive forces. However, present-generation devices only focus on the patient’s impairment at functional level and do not account for abnormal cortical and/or muscle activity. To move the field forward, we need to understand the interplay between central, muscle and movement (functional) level – first in healthy subjects, then in persons with neuromotor impairments.
General objectives and main activities
Robots are currently used to enable stroke survivors to perform intensive training under the influence of assistive forces. However, present-generation devices only focus on the patient’s impairment at functional level and do not account for abnormal cortical and/or muscle activity. To move the field forward, we need to understand the interplay between central, muscle and movement (functional) level – first in healthy subjects, then in persons with neuromotor impairments.
Training Objectives (technical/analytical tools, experimental methodologies)
− Development of experimental set-up based on Matlab/Simulink
− Conducting experiments with healthy subjects
− Analysis of movement, EMG and EEG data with Matlab
− Conducting experiments with healthy subjects
− Analysis of movement, EMG and EEG data with Matlab
Place(s) where the thesis work will be carried out: Katholieke Universiteit Leuven, Belgio
Additional information
Pre-requisite abilities/skills: Indispensabili competenze di programmazione in Matlab e C++ e interesse per attività sperimentale con soggetti umani. L’assegnazione della tesi è soggetta a verifica delle competenze richieste
Maximum number of students: 1
Financial support/scholarship: Possibile supporto da parte di KU Leuven e Erasmus+