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Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures
Goal: We propose novel supervised control architectures to regulate the cognitive stress state and close the loop. Methods: We take information present in underlying neural impulses of skin conductance signals and employ model-based control techniques to close the loop in a state-space framework. Fo...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979622/ https://www.ncbi.nlm.nih.gov/pubmed/35399789 http://dx.doi.org/10.1109/OJEMB.2022.3143686 |
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collection | PubMed |
description | Goal: We propose novel supervised control architectures to regulate the cognitive stress state and close the loop. Methods: We take information present in underlying neural impulses of skin conductance signals and employ model-based control techniques to close the loop in a state-space framework. For performance enhancement, we establish a supervised knowledge-based layer to update control system in real time. In the supervised architecture, the controller parameters are being updated in real-time. Results: Statistical analyses demonstrate the efficiency of supervised control architectures in improving the closed-loop results while maintaining stress levels within a desired range with more optimized control efforts. The model-based approaches would guarantee the control system-perspective criteria such as stability and optimality, and the proposed supervised knowledge-based layer would further enhance their efficiency. Conclusion: Outcomes in this in silico study verify the proficiency of the proposed supervised architectures to be implemented in the real world. |
format | Online Article Text |
id | pubmed-8979622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
spelling | pubmed-89796222022-04-07 Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures IEEE Open J Eng Med Biol Article Goal: We propose novel supervised control architectures to regulate the cognitive stress state and close the loop. Methods: We take information present in underlying neural impulses of skin conductance signals and employ model-based control techniques to close the loop in a state-space framework. For performance enhancement, we establish a supervised knowledge-based layer to update control system in real time. In the supervised architecture, the controller parameters are being updated in real-time. Results: Statistical analyses demonstrate the efficiency of supervised control architectures in improving the closed-loop results while maintaining stress levels within a desired range with more optimized control efforts. The model-based approaches would guarantee the control system-perspective criteria such as stability and optimality, and the proposed supervised knowledge-based layer would further enhance their efficiency. Conclusion: Outcomes in this in silico study verify the proficiency of the proposed supervised architectures to be implemented in the real world. IEEE 2022-01-18 /pmc/articles/PMC8979622/ /pubmed/35399789 http://dx.doi.org/10.1109/OJEMB.2022.3143686 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures |
title | Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures |
title_full | Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures |
title_fullStr | Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures |
title_full_unstemmed | Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures |
title_short | Enhancement of Closed-Loop Cognitive Stress Regulation Using Supervised Control Architectures |
title_sort | enhancement of closed-loop cognitive stress regulation using supervised control architectures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979622/ https://www.ncbi.nlm.nih.gov/pubmed/35399789 http://dx.doi.org/10.1109/OJEMB.2022.3143686 |
work_keys_str_mv | AT enhancementofclosedloopcognitivestressregulationusingsupervisedcontrolarchitectures AT enhancementofclosedloopcognitivestressregulationusingsupervisedcontrolarchitectures |