Non-Invasive Physiological Metrics for Cognitive Load Assessment in Training and Operational Contexts: Signal Processing, Evidence, and Feasibility.
- DOI
- 10.3390/s26154848
- Published
- 2026 Aug 1
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26154848,
title = {Non-Invasive Physiological Metrics for Cognitive Load Assessment in Training and Operational Contexts: Signal Processing, Evidence, and Feasibility.},
author = {Alsanousi MM and Prabhu VV},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26154848},
url = {https://doi.org/10.3390/s26154848}
}RIS
TY - JOUR TI - Non-Invasive Physiological Metrics for Cognitive Load Assessment in Training and Operational Contexts: Signal Processing, Evidence, and Feasibility. AU - Alsanousi MM AU - Prabhu VV PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26154848 UR - https://doi.org/10.3390/s26154848 ER -
APA
MM, A., & VV, P. (2026). Non-Invasive Physiological Metrics for Cognitive Load Assessment in Training and Operational Contexts: Signal Processing, Evidence, and Feasibility.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26154848
Source records
- pubmed · retrieved 2026-09-26T03:08:50.267Z