Peer-reviewedCC BY-NCJournal of clinical practice and research
Machine Learning-Based Fatigue Detection from EEG Signals: A Methodological Pilot Framework with Potential for Nursing Applications
- 1Department of Medical Services and Techniques, Incesu Vocational School of Health Services, Kayseri University, Kayseri, Türkiye
- 2Department of Electronic and Automation, Vocational School of Technical Science, Kayseri University, Kayseri, Türkiye
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BibTeX
@article{cetin2026machine,
title = {{Machine Learning-Based Fatigue Detection from EEG Signals: A Methodological Pilot Framework with Potential for Nursing Applications}},
author = {Serife Cetin and Eda Dagdevir},
journal = {Journal of clinical practice and research},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13659198},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - Machine Learning-Based Fatigue Detection from EEG Signals: A Methodological Pilot Framework with Potential for Nursing Applications
AU - Serife Cetin
AU - Eda Dagdevir
PY - 2026
DA - 2026/09/01
JO - Journal of clinical practice and research
UR - https://europepmc.org/article/PMC/PMC13659198
SN - 2980-2156
ER -