Trustworthy Stress Detection from Wearable Sensor Signals for Preventive Anxiety Monitoring: Subject-Independent Accuracy and Calibrated Confidence with the Autonomic-Branch Quantum-Graph Network
- DOI
- 10.3390/s26206425
- Published
- 2026-10-11
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26206425,
title = {Trustworthy Stress Detection from Wearable Sensor Signals for Preventive Anxiety Monitoring: Subject-Independent Accuracy and Calibrated Confidence with the Autonomic-Branch Quantum-Graph Network},
author = {Spyridon Papamentzelopoulos and Sotirios Nikoletseas},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26206425},
url = {https://doi.org/10.3390/s26206425}
}RIS
TY - JOUR TI - Trustworthy Stress Detection from Wearable Sensor Signals for Preventive Anxiety Monitoring: Subject-Independent Accuracy and Calibrated Confidence with the Autonomic-Branch Quantum-Graph Network AU - Spyridon Papamentzelopoulos AU - Sotirios Nikoletseas PY - 2026 JO - Sensors DO - 10.3390/s26206425 UR - https://doi.org/10.3390/s26206425 ER -
APA
Papamentzelopoulos, S., & Nikoletseas, S. (2026). Trustworthy Stress Detection from Wearable Sensor Signals for Preventive Anxiety Monitoring: Subject-Independent Accuracy and Calibrated Confidence with the Autonomic-Branch Quantum-Graph Network. Sensors. https://doi.org/10.3390/s26206425
Source records
- crossref · retrieved 2026-11-04T09:17:29.390Z