SSVEP-based brain–computer interface enabling graded dyspnoea self-report: proof-of-concept study in healthy volunteers
This study demonstrates that an SSVEP-based BCI can sucessfully detect and quantify experimentally induced dyspnoea in healthy individuals. Further research is needed to evaluate its clinical applicability for assessing dyspnoea in non-communicative patients.
Authors
- Mario Chávez (ORCID: https://orcid.org/0000-0003-0390-4833)
- T. Similowski
- Laure Serresse (ORCID: https://orcid.org/0000-0003-4786-5872)
- Alexandre Demoule (ORCID: https://orcid.org/0000-0002-0432-7217)
- Sébastien Campion
- Mathieu Raux
- C. Morélot-Panzini
- Marie-Cécile Niérat
- Isabelle Rivals
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Sorbonne Université (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Fédération Hospitalo-Universitaire, Paris Center for Microbiome Medicine (FR)
- Centre National des Soins Palliatifs et de la Fin de Vie (FR)
- Laboratoire de Statistique Théorique et Appliquée (FR)
- Pitié-Salpêtrière Hospital (FR)
- Institut du Cerveau (FR)
- Neurophysiologie respiratoire expérimentale et clinique
- Université Paris 1 Panthéon-Sorbonne (FR)
- ESPCI Paris (FR)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1186/s12984-025-01846-y
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00