Scheda di Offerta Tesi

Titolo (provvisorio): Reshaping Perception and Action in EMG based Human-Machine Interfaces

Relatore/i: Casadio Maura, Antonino Massone, FA Mussa-Ivaldi E-mail:
Indirizzo: Via Opera Pia 13, 16145 Genova (ITALY) Tel.: (+39) 010 33 52749

Motivazione e campo di applicazione
Body-machine interfaces (BMIs) decode upper-body motion for operating devices, such as computers and wheelchairs. In the last decades, body machine interfaces have been developed as tool to investigate neural control of movement and/ or to empower disabled people to reach assistive and rehabilitative goals. BMI based on body movement have been proved effective to support personalized a therapy for survivors of cervical spinal cord injury (cSCI).

Obiettivi generali e principali attività
Aim1: Developing the technology for a hybrid human-machine interface based on mapping body motion sensors and EMG signals onto a variety of control tasks. We will manipulate the sensory feedback (visual) to induce desired changes in the muscle and motion patterns of healthy and spinal cord injured subjects.
Aim 2: Assessing the activation and/or deactivation of targeted muscles and muscle synergies through a movement and EMG analyses.

Obiettivi di apprendimento (strumenti tecnici e analitici, metodologie sperimentali)
The student will learn
- To analyze and correlate body signals from different sources such as movement and EMG
- To develop the control of an external device based on body signal coming from different sources
- to develop data analysis tools for behavioral data
- to improve the knowledge of Matlab/Simulink, C Sharp, autoencoders networks and statistical analysis
- to work (in an international team) with people with different backgrounds and with people with disability

Luogo/i in cui si svolgerà il lavoro: Santa Corona Hospital in Pietra Ligure (SV) – Italy / Spinal Department

Informazioni aggiuntive

Numero massimo di studenti: 1

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