Seminario pubblico di Emma Colamarino (procedura valutativa per n.1 posto di Ricercatore a tempo determinato tipologia A - SC 09/G2 SSD ING-INF/06) - Martedì 21/03/23 ore 11.00, Aula Magna
Speaker:
Emma Colamarino
Data dell'evento:
Tuesday, 21 March, 2023 - 11:00
Luogo:
Aula Magna
Contatto:
Febo Cincotti
In ottemperanza ai requisiti previsti dalla procedura selettiva di chiamata per n. 1 posto di ricercatore a tempo determinato tipologia A ai sensi dell’art. 24, comma 3, lett. A, legge 240/2010 per il settore concorsuale 09/G2 - settore scientifico disciplinare ING-INF/06 presso il Dipartimento di ingegneria informatica, automatica e gestionale Antonio Ruberti - Facoltà di Ingegneria dell’informazione, informatica e statistica, codice concorso 2023RTDAPNRR082, il giorno:
Martedì 21 marzo 2023
ore 11:00, Aula Magna, DIAG
ore 11:00, Aula Magna, DIAG
e in collegamento Zoom raggiungibile tramite l’URL:
si terrà il seminario pubblico di Emma Colamarino sulle sue attività di ricerca.
Title
Brain-Computer Interfaces for sensorimotor rehabilitation: EEG and EMG processing techniques to improve BCIs usability and assess their effectiveness
Abstract
Electroencephalography (EEG)-based Brain–Computer Interfaces (BCIs) record, decode and translate into real-time feedback the electrical activity of the brain. Recently, BCIs have been employed to support protocols targeting the recovery of the upper limb sensorimotor function in pathological population, such as stroke and spinal cord injury. Although the effectiveness of the EEG-based BCI protocols in improving motor function of the upper limb has been demonstrated in several randomized controlled clinical trials, there are some shortcomings that limit the transferability of BCIs in the clinical realm.
Among other efforts, transferring BCI technology to clinical routine requires optimization of the signal processing procedures to achieve a correct balance between BCI system accuracy and usability. In the talk, an overview of how the recent methodological advancements in EEG signal processing and classification have overcome the most restrictive pitfalls will be given. Moreover, advances in electroencephalographic and electromyographic signal processing as tools to quantitatively assess and monitor the outcome of rehabilitative interventions will be presented.
Bio sketch
Emma Colamarino is research fellow at DIAG, where she earned her PhD in Automatic Control, Bioengineering and Operational Research (Bioengineering curriculum) in 2019. During and after her PhD she carried out research activities at the rehabilitation hospital IRCCS Santa Lucia Foundation (Rome, Italy). In 2018 she was Visiting PhD student at the Department of Bioengineering of the Imperial College London (London, UK). Her research topics mainly focus on the development of signal processing techniques for EEG and EMG signals, and their clinical application for rehabilitation through Brain-Computer Interface systems. She participated in research projects funded by the Italian Ministry of Health.
gruppo di ricerca: