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DTSTART:20151025T030000
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DTSTART:20150329T020000
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UID:calendar.7092.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260407T072048Z
CREATED:20150709T125955Z
DESCRIPTION: Brain–computer interfaces (BCIs) provide an avenue to translat
 e activity of the central nervous system into actions\, independent of the
  natural output pathways\, thus helping to improve\, restore or enhance ph
 ysiological functions. Basic research has progressed for more than two dec
 ades\, and this technology is now being evaluated outside laboratory setti
 ngs. Use of BCI technology to improve motor functions\, e.g. in neuromotor
  rehabilitation\, should encompass the physiological principles of evidenc
 e based medicine\, and account for the therapeutic practice conventionally
  carried on in the hospital ward.Extensive research on EEG-based Brain-Com
 puter Interfaces produced sufficient knowledge to bring this technology ou
 t of the research laboratory. Solutions including BCIs must be driven from
  a user-centered design. Several application are envisaged: substitution a
 nd restoration of motor functions are ripe for the end-user. ---  Febo Cin
 cotti (MSc in Electronics Engineering\, PhD in Biophysics) is Assistant Pr
 ofessor of Bioengineering at  the Antonio Ruberti Department of Computer\,
  Control\, and  Management Engineering\, Sapienza University of Rome\, Ita
 lyHis research interests include: Neuroelectrical (EEG) signal analysis\, 
 with focus on estimation of cortical sources\, also in combination with ot
 her imaging techniques (MEG\, fMRI)\; real time processing of electrophysi
 ological data\, for use in monitoring and neurofeedback systems\; applicat
 ion of novel biomedical instrumentation based on the above methods in the 
 field of neuromotor rehabilitation\; development and clinical assessment (
 effectiveness\, usability\, neuropsychological functions) of assistive tec
 hnologies based on Brain-Computer Interfaces.He was Principal investigator
  3 EU-funded FP7-ICT STREP research projects. He was co-PI (with a medical
  PI) in four interdisciplinary projects (1 FP4 FET STREP\, 1 FP7 Integrate
 d Project\, 1 FP7-ICT STREP\, 1 Coordination and Support Action). He vas c
 oordinator or PI or Co-PI in National project\, funded by the Ministry of 
 Health or private foundations.  
DTSTART;TZID=Europe/Paris:20150713T100000
DTEND;TZID=Europe/Paris:20150713T100000
LAST-MODIFIED:20220321T172903Z
LOCATION:Aula Magna
SUMMARY:Real-time processing of neurophysiological signals to improve\, res
 tore and enhance human functions. - Febo Cincotti
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/7092
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