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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20221030T030000
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UID:calendar.25670.field_data.0@www.ugov-ricerca.uniroma1.it
DTSTAMP:20260406T010732Z
CREATED:20230316T164930Z
DESCRIPTION: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 statisti
 ca\, codice concorso 2023RTDAPNRR082\, il giorno:Martedì 21 marzo 2023ore 
 11:00\, Aula Magna\, DIAG e in collegamento Zoom raggiungibile tramite l’U
 RL: https://uniroma1.zoom.us/j/98319004705 si terrà il seminario pubblico 
 di Emma Colamarino sulle sue attività di ricerca. TitleBrain-Computer Inte
 rfaces for sensorimotor rehabilitation: EEG and EMG processing techniques 
 to improve BCIs usability and assess their effectiveness AbstractElectroen
 cephalography (EEG)-based Brain–Computer Interfaces (BCIs) record\, decode
  and translate into real-time feedback the electrical activity of the brai
 n. Recently\, BCIs have been employed to support protocols targeting the r
 ecovery of the upper limb sensorimotor function in pathological population
 \, such as stroke and spinal cord injury. Although the effectiveness of th
 e EEG-based BCI protocols in improving motor function of the upper limb ha
 s been demonstrated in several randomized controlled clinical trials\, the
 re are some shortcomings that limit the transferability of BCIs in the cli
 nical realm.Among other efforts\, transferring BCI technology to clinical 
 routine requires optimization of the signal processing procedures to achie
 ve a correct balance between BCI system accuracy and usability. In the tal
 k\, an overview of how the recent methodological advancements in EEG signa
 l processing and classification have overcome the most restrictive pitfall
 s will be given. Moreover\, advances in electroencephalographic and electr
 omyographic signal processing as tools to quantitatively assess and monito
 r the outcome of rehabilitative interventions will be presented.  Bio sket
 chEmma Colamarino is research fellow at DIAG\, where she earned her PhD in
  Automatic Control\, Bioengineering and Operational Research (Bioengineeri
 ng curriculum) in 2019. During and after her PhD she carried out research 
 activities at the rehabilitation hospital IRCCS Santa Lucia Foundation (Ro
 me\, Italy). In 2018 she was Visiting PhD student at the Department of Bio
 engineering of the Imperial College London (London\, UK). Her research top
 ics mainly focus on the development of signal processing techniques for EE
 G and EMG signals\, and their clinical application for rehabilitation thro
 ugh Brain-Computer Interface systems. She participated in research project
 s funded by the Italian Ministry of Health.  
DTSTART;TZID=Europe/Paris:20230321T110000
DTEND;TZID=Europe/Paris:20230321T110000
LAST-MODIFIED:20230316T183448Z
LOCATION:Aula Magna
SUMMARY:Seminario pubblico di Emma Colamarino (procedura valutativa per n.1
  posto di Ricercatore a tempo determinato tipologia A - SC 09/G2 SSD ING-I
 NF/06) - Martedì 21/03/23 ore 11.00\, Aula Magna - Emma Colamarino
URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/25670
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