Sensor-Based Fault Diagnosis and Prognosis of Neurophysiological States: A Transformer Autoencoder Approach to EEG Monitoring.

Moreno Escobar JJ, Castillo Pérez MD, Aguilar Del Villar EY, Espinosa HQ.

Open source

DOI
10.3390/s26092913
Published
2026-05-06
Container
Sensors (Basel)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s26092913,
  title = {Sensor-Based Fault Diagnosis and Prognosis of Neurophysiological States: A Transformer Autoencoder Approach to EEG Monitoring.},
  author = {Moreno Escobar JJ and  Castillo Pérez MD and  Aguilar Del Villar EY and  Espinosa HQ.},
  year = {2026},
  journal = {Sensors (Basel)},
  doi = {10.3390/s26092913},
  url = {https://doi.org/10.3390/s26092913}
}

RIS

TY  - JOUR
TI  - Sensor-Based Fault Diagnosis and Prognosis of Neurophysiological States: A Transformer Autoencoder Approach to EEG Monitoring.
AU  - Moreno Escobar JJ
AU  -  Castillo Pérez MD
AU  -  Aguilar Del Villar EY
AU  -  Espinosa HQ.
PY  - 2026
JO  - Sensors (Basel)
DO  - 10.3390/s26092913
UR  - https://doi.org/10.3390/s26092913
ER  - 

APA

JJ, M. E., MD, C. P., EY, A. D. V., & HQ., E. (2026). Sensor-Based Fault Diagnosis and Prognosis of Neurophysiological States: A Transformer Autoencoder Approach to EEG Monitoring.. Sensors (Basel). https://doi.org/10.3390/s26092913

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