Toward a Tissue Model for Bipolar Electrosurgery: Block-Oriented Model Structure Analysis. Barbé, K., Ford, C., Bonn, K., & Gilbert, J. IEEE Transactions on Instrumentation and Measurement, 66(3):460–469, March, 2017. doi abstract bibtex High-frequency radio energy is applied to tissue therapeutically in a number of different medical applications. The ability to model the effects of RF energy on the collagen, elastin, and liquid content of the target tissue would allow for the refinement of the control of the energy in order to improve outcomes and reduce negative side effects. In this paper, we aim at studying the dynamics of voltage and current signals in bipolar electrosurgery whose dynamic relationship we describe by a nonlinear (NL) time-varying dynamical model. The different aspects and carefully designed tests allow getting insight in a possible candidate for such a dynamical model. We conclude, in this paper, that the impedance relationship may be modeled through a time-varying Wiener-Hammerstein system where the static NL function is a function of both the signal as well as time. In particular, we motivate that one can discriminate between different target tissues through this model by inspecting the time-varying NL function. As such, the model properties serve the realization of a possible simulator generating real-life current-voltage signals for training facilities among other applications.
@article{barbe_toward_2017,
title = {Toward a {Tissue} {Model} for {Bipolar} {Electrosurgery}: {Block}-{Oriented} {Model} {Structure} {Analysis}},
volume = {66},
issn = {0018-9456},
shorttitle = {Toward a {Tissue} {Model} for {Bipolar} {Electrosurgery}},
doi = {10.1109/TIM.2016.2610018},
abstract = {High-frequency radio energy is applied to tissue therapeutically in a number of different medical applications. The ability to model the effects of RF energy on the collagen, elastin, and liquid content of the target tissue would allow for the refinement of the control of the energy in order to improve outcomes and reduce negative side effects. In this paper, we aim at studying the dynamics of voltage and current signals in bipolar electrosurgery whose dynamic relationship we describe by a nonlinear (NL) time-varying dynamical model. The different aspects and carefully designed tests allow getting insight in a possible candidate for such a dynamical model. We conclude, in this paper, that the impedance relationship may be modeled through a time-varying Wiener-Hammerstein system where the static NL function is a function of both the signal as well as time. In particular, we motivate that one can discriminate between different target tissues through this model by inspecting the time-varying NL function. As such, the model properties serve the realization of a possible simulator generating real-life current-voltage signals for training facilities among other applications.},
number = {3},
journal = {IEEE Transactions on Instrumentation and Measurement},
author = {Barbé, K. and Ford, C. and Bonn, K. and Gilbert, J.},
month = mar,
year = {2017},
keywords = {Bioimpedance, Bioimpedance spectra, Biological system modeling, Kernel, Linear approximation, Linear systems, Mathematical model, Surgery, bioelectric phenomena, biological tissues, bipolar electrosurgery, block-oriented model structure analysis, collagen, collagen denaturation, current signals, current-voltage signals, elastin, frequency response function (FRF), high-frequency radio energy, impedance relationship, liquid content, medical applications, molecular biophysics, nonlinear time-varying dynamical model, nonparametric, proteins, surgery, time-varying Wiener-Hammerstein system, tissue model, voltage dynamics},
pages = {460--469}
}
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In this paper, we aim at studying the dynamics of voltage and current signals in bipolar electrosurgery whose dynamic relationship we describe by a nonlinear (NL) time-varying dynamical model. The different aspects and carefully designed tests allow getting insight in a possible candidate for such a dynamical model. We conclude, in this paper, that the impedance relationship may be modeled through a time-varying Wiener-Hammerstein system where the static NL function is a function of both the signal as well as time. In particular, we motivate that one can discriminate between different target tissues through this model by inspecting the time-varying NL function. 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