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Parametric Modeling and Deep Learning for Enhancing Pain Assessment in Postanesthesia.

, , , , , и . IEEE Trans. Biomed. Eng., 70 (10): 2991-3002 (октября 2023)

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Martine Grümmer

Martine Schnell

Martine Molitor

Martine Leibovici

Martine Paura

 

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Uncertainty Minimization and Feasibility Study for Managing the Complex and Interacting Anesthesia-Hemodynamic System., , , , , , , и . CDC, стр. 6064-6069. IEEE, (2022)Distributed model predictive control for hypnosis-hemodynamic maintenance during anesthesia., , , , , и . ICSTCC, стр. 638-643. IEEE, (2019)Modelling of Blood Loss Influence on Propofol Concentrations and Anesthetic States in Critical Responses., , , , , и . ACC, стр. 2216-2221. IEEE, (2023)Perspectives on Hybrid Control of the Anesthesia-Hemodynamic System in the Pandemic Context., , , , , и . MED, стр. 409-414. IEEE, (2021)An Open Source Patient Simulator for Design and Evaluation of Computer Based Multiple Drug Dosing Control for Anesthetic and Hemodynamic Variables., , , и . IEEE Access, (2021)Anesthesia regulation: Towards completing the picture., , , и . AQTR, стр. 1-6. IEEE, (2018)Experimental Measurement of Pain Stimulus Effects in Skin Impedance., , , , и . CSCS, стр. 507-514. IEEE, (2019)Parametric Modeling and Deep Learning for Enhancing Pain Assessment in Postanesthesia., , , , , и . IEEE Trans. Biomed. Eng., 70 (10): 2991-3002 (октября 2023)