Pubblicazioni

Autori:

Di Marco, Roberto; Rubega, Maria; Lennon, Olive; Formaggio, Emanuela; Sutaj, Ngadhnjim; Dazzi, Giacomo; Venturin, Chiara; Bonini, Ilenia; Ortner, Rupert; Antonio Cerrel Bazo, Humberto; Tonin, Luca; Tortora, Stefano; Masiero, Stefano; DEL FELICE, Alessandra; behalf of the PRO GAIT Consortium, On

Titolo:

Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session

Anno:

2021

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Formato:

Elettronico

Referee:

Sì

Nome rivista:

METHODS AND PROTOCOLS

ISSN Rivista:

2409-9279

N° Volume:

4

Numero o Fascicolo:

3

Intervallo pagine:

48-48

Parole chiave:

EEG; EMG; aging; exoskeleton; neuromuscular plasticity; rehabilitation; stroke

Breve descrizione dei contenuti:

Exoskeleton gait rehabilitation is an emerging area of research, with potential applications in the elderly and in people with central nervous system lesions, e.g., stroke, traumatic brain/spinal cord injury. However, adaptability of such technologies to the user is still an unmet goal. Despite important technological advances, these robotic systems still lack the fine tuning necessary to adapt to the physiological modification of the user and are not yet capable of a proper human-machine interaction. Interfaces based on physiological signals, e.g., recorded by electroencephalography (EEG) and/or electromyography (EMG), could contribute to solving this technological challenge. This protocol aims to: (1) quantify neuro-muscular plasticity induced by a single training session with a robotic exoskeleton on post-stroke people and on a group of age and sex-matched controls; (2) test the feasibility of predicting lower limb motor trajectory from physiological signals for future use as control signal for the robot. An active exoskeleton that can be set in full mode (i.e., the robot fully replaces and drives the user motion), adaptive mode (i.e., assistance to the user can be tuned according to his/her needs), and free mode (i.e., the robot completely follows the user movements) will be used. Participants will undergo a preparation session, i.e., EMG sensors and EEG cap placement and inertial sensors attachment to measure, respectively, muscular and cortical activity, and motion. They will then be asked to walk in a 15 m corridor: (i) self-paced without the exoskeleton (pre-training session); (ii) wearing the exoskeleton and walking with the three modes of use; (iii) self-paced without the exoskeleton (post-training session). From this dataset, we will: (1) quantitatively estimate short-term neuroplasticity of brain connectivity in chronic stroke survivors after a single session of gait training; (2) compare muscle activation patterns during exoskeleton-gait between stroke survivors and age and sex-matched controls; and (3) perform a feasibility analysis on the use of physiological signals to decode gait intentions.

Id prodotto:

125696

Handle IRIS:

11562/1061537

ultima modifica:

5 giugno 2023

Citazione bibliografica:

Di Marco, Roberto; Rubega, Maria; Lennon, Olive; Formaggio, Emanuela; Sutaj, Ngadhnjim; Dazzi, Giacomo; Venturin, Chiara; Bonini, Ilenia; Ortner, Rupert; Antonio Cerrel Bazo, Humberto; Tonin, Luca; Tortora, Stefano; Masiero, Stefano; DEL FELICE, Alessandra; behalf of the PRO GAIT Consortium, On, Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session «METHODS AND PROTOCOLS» , vol. 4 , n. 3 , 2021 , pp. 48-48

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo