BCI4ALL

Project summary

BCI4ALL: Brain-computer interfaces for people in Locked-in state and with disorders of consciousness

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).

MAIN TASKS:

TASK1: Machine learning for highly non-stationary EEG signal with cross-session transfer-learning
TASK2: Transcranial direct current stimulation (TDCS) to enhance EEG discrimination
TASK3: Multilevel and multimodal interfaces for BCI and patient assessment: reflexive, perceptual and cognitive dimensions
TASK4: Using large language models for text and speech generation from BCI outputs and hybrid interfaces

Funding Information:

FCT: 2023.17977.ICDT ; SGO2023: 17094 ; COMPETE: COMPETE2030-FEDER-00842800
FEDER/FNR/OE funding through programs Programa Inovação e Transição Digital and Portuguese foundation for science and technology (FCT) - COMPETE2030-FEDER-00842800
BCI4ALL Project is a partnership between "Instituto de Sistemas e robótica - ISR-Coimbra (promoter), o Instituto Politécnico de Tomar - IPT (partner) and Universidade de Coimbra - CIBIT (partner)
Duration: 2025-05-01 to 2028-04-30 Budget: 249.955,20 € Project sheet
https://www.compete2030.gov.pt/operacoes/listagem/COMPETE2030-FEDER-00842800/

Consortium

End-users collaborating Institutions

Promoter

Partner

ULS S. João - Unidade de Serviços Paliativos

ULS de Coimbra - Centro de Reabilitação Rovisco Pais

Associação Portuguesa de Esclerose Lateral Amiotrófica

News

The BCI4ALL project is joining the International Day of Persons with Disabilities, taking place at the Polytechnic Institute of Tomar, by presenting a showcase of videos on Assistive and Rehabilitation Technologies for people with motor and neurofunctional limitations. More information at https://sites.google.com/view/bci4all/events
João Perdiz successfully defended his PhD thesis today (27/11/2025) , titled “User-adaptive eye event detection from EOG signals for Human-Machine Interfaces”. It was a long but successful journey! Congratulations, João! 🎓
The BCI4ALL project joined the ISR Open Lab Day activities on November 19. Thank you to Aniana and Rute for preparing and presenting the demonstrations!
Congratulations to Carolina Amante, who successfully defended her master’s thesis today (NOVA University Lisbon), under the supervision of Ana Londral and co-supervision of Gabriel Pires, on 18 November 2025. Congratulations, Carolina! 🎓
Nicoli successfully defended her Master’s dissertation today (10/10/2025) , titled “Paradigms for users’ reflexive and perceptual evaluation, and automatic classification of brain responses” Congratulations, Nicoli! 🎓
We had three papers accepted for publication at the IEEE ENBENG2025 Conference! Congrats to all the teams!
Our paper "Generalization of Machine and Deep Learning Models for Brain-Computer Interfaces Across Sessions and Paradigms in a Completely Locked-In Patient" has been accepted for publication at ROMAN2025! Congrats to the team, specially to Luis Garrote!
Official Project Kick-off meeting, 12 june, 2025! The meeting was attended by all BCI4ALL project members from the three institutions.
Portuguese meeting: Encontro Prospetivo: Tecnologias de Apoio em Portugal, May, 9, 2025, Polytechnic Institute of Tomar, https://sites.google.com/view/tapep2025 Registration ends May, 2 !

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