Non-Markovian Dynamical Systems Modeling of Electroencephalogram-Based Brain Activity for Predicting the Cognitive Fatigue Level
- DOI
- 10.1109/jbhi.2026.3737386
- Published
- 2026
- Container
- IEEE Journal of Biomedical and Health Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3737386,
title = {Non-Markovian Dynamical Systems Modeling of Electroencephalogram-Based Brain Activity for Predicting the Cognitive Fatigue Level},
author = {Zeinabsadat Saghi and Daria Riabukhina and Olubukola Akinbami and Paul Bogdan and Souti Chattopadhyay},
year = {2026},
journal = {IEEE Journal of Biomedical and Health Informatics},
doi = {10.1109/jbhi.2026.3737386},
url = {https://doi.org/10.1109/jbhi.2026.3737386}
}RIS
TY - JOUR TI - Non-Markovian Dynamical Systems Modeling of Electroencephalogram-Based Brain Activity for Predicting the Cognitive Fatigue Level AU - Zeinabsadat Saghi AU - Daria Riabukhina AU - Olubukola Akinbami AU - Paul Bogdan AU - Souti Chattopadhyay PY - 2026 JO - IEEE Journal of Biomedical and Health Informatics DO - 10.1109/jbhi.2026.3737386 UR - https://doi.org/10.1109/jbhi.2026.3737386 ER -
APA
Saghi, Z., Riabukhina, D., Akinbami, O., Bogdan, P., & Chattopadhyay, S. (2026). Non-Markovian Dynamical Systems Modeling of Electroencephalogram-Based Brain Activity for Predicting the Cognitive Fatigue Level. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2026.3737386
Source records
- crossref · retrieved 2026-09-25T20:31:59.069Z