Bioelectrical impedance analysis of thermal-induced cutaneous nociception

Ghita, Mihaela; Birs, Isabela; Copot, Dana; Muresan, Cristina I.; Ionescu, Clara M.

doi:10.1016/j.bspc.2023.104678

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Cited by 4 publications

References 58 publications

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Design of A Multi-Parameter Bioimpedance Measurement System

Meng,

Chen,

Wang

et al. 2024

2024 International Conference on Advanced Robotics and Mechatronics (ICARM)

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Design of A Multi-Parameter Bioimpedance Measurement System

Meng,

Chen,

Wang

et al. 2024

2024 International Conference on Advanced Robotics and Mechatronics (ICARM)

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A Numerical Algorithm for Solving Nonlocal Nonlinear Stochastic Delayed Systems with Variable-Order Fractional Brownian Noise

et al. 2023

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A numerical technique was developed for solving nonlocal nonlinear stochastic delayed differential equations driven by fractional variable-order Brownian noise. Error analysis of the proposed technique was performed and discussed. The method was applied to the nonlocal stochastic fluctuations of the human body and the Nicholson’s blowfly models, and its accuracy and computational time were assessed for different values of the nonlocal order parameters. A comparison with other techniques available in the literature revealed the effectiveness of the proposed scheme.

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Fractional-Order Modeling of the Depth of Analgesia as Reference Model for Control Purposes

Muresan,

Hegedüs,

Mihai

et al. 2024

Fractal Fract

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Little research has been carried out in terms of modeling and control of analgesia. However, emerging new technology and recent prototypes paved the way for several ideas on pain modeling for control. Recently, such an idea has been proposed for measuring the Depth of Analgesia (DoA). In this paper, that solution is further exploited towards obtaining a novel fractional-order model and dedicated controller for DoA. First, clinical data from patients undergoing general anesthesia are used to determine a commensurate fractional-order model of the skin impedance at each sampling period. Second, we provide a proof of concept indicating that fractional order changes due to variations in the infused opioid drug (Remifentanil). Third, a fractional-order model for DoA is developed correlating the changes in the pain index (as the output signal) and the Remifentanil infusion rate (as the input signal). Standard optimization routines are used to estimate the parameters. A database of 19 real patients is used. Lastly, a preliminary fractional-order controller is designed and tested in simulation for the 19 patients. The closed-loop simulation results correspond to the expected clinical outcomes.

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Bioelectrical impedance analysis of thermal-induced cutaneous nociception

Cited by 4 publications

References 58 publications

Design of A Multi-Parameter Bioimpedance Measurement System

Design of A Multi-Parameter Bioimpedance Measurement System

A Numerical Algorithm for Solving Nonlocal Nonlinear Stochastic Delayed Systems with Variable-Order Fractional Brownian Noise

Fractional-Order Modeling of the Depth of Analgesia as Reference Model for Control Purposes

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