Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches.
- DOI
- 10.3389/fnhum.2026.1795349
- Published
- 2026
- Container
- Frontiers in human neuroscience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fnhum.2026.1795349,
title = {Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches.},
author = {Al-Bander B},
year = {2026},
journal = {Frontiers in human neuroscience},
doi = {10.3389/fnhum.2026.1795349},
url = {https://doi.org/10.3389/fnhum.2026.1795349}
}RIS
TY - JOUR TI - Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches. AU - Al-Bander B PY - 2026 JO - Frontiers in human neuroscience DO - 10.3389/fnhum.2026.1795349 UR - https://doi.org/10.3389/fnhum.2026.1795349 ER -
APA
B, A. (2026). Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches.. Frontiers in human neuroscience. https://doi.org/10.3389/fnhum.2026.1795349