BCI4ALL


Project designation
BCI4ALL: Brain-computer interfaces for people in Locked-in state and with disorders of consciousness
Resume
Project BCI4ALL aims to research and develop effective EEG-based BCIs for individuals in locked-in state (LIS) and completely LIS (CLIS). The focus is on machine learning methods to improve BCI usability, the use of tDCS for neuromodulation, and LLM-driven communication. It is also expected that researched techniques have the potential to be used for assessing patients with disorders of consciousness (DoC).

Team

Gabriel Pires (Head of Lab)

Principal Investigator

Luís Almeida

Member



Project code
COMPETE2030-FEDER-00842800
Intervention region
P2030
Approval date
2025-03-01
Start date
2025-05-01
End date
2028-04-30
Budget
249.955 €
European Union financial support
212.462 €
Public/Regional financial support
37.493 €