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<p>Electrosurgical generators (ESG) are widely used in medical procedures to cut and coagulate tissue. Accurate control of the output power is crucial for surgical success, but can be challenging to achieve. In this paper, a novel expert knowledge-based peak current mode controller (EK-PCMC) is proposed to regulate the output power of an ESG. The EK-PCMC leverages expert knowledge to adapt to changes in tissue impedance during surgical procedures. We compared the performance of the EK-PCMC with the classical peak current mode controller (PCMC) and fuzzy PID controller. The results demonstrate that the EK-PCMC significantly outperformed the PCMC, reducing the integral square error (ISE) and integral absolute error (IAE) by a factor of 3.88 and 4.86, respectively. In addition, the EK-PCMC outperformed the fuzzy PID controller in terms of transient response and steady-state performance. Our study highlights the effectiveness of the proposed EK-PCMC in improving the regulation of the output power of an ESG and improving surgical outcomes.</p>
</abstract>

Electrosurgical generators (ESG) are widely used in medical procedures to cut and coagulate tissue. Accurate control of the output power is crucial for surgical success, but can be challenging to achieve. In this paper, a novel expert knowledge-based peak current mode controller (EK-PCMC) is proposed to regulate the output power of an ESG. The EK-PCMC leverages expert knowledge to adapt to changes in tissue impedance during surgical procedures. We compared the performance of the EK-PCMC with the classical peak current mode controller (PCMC) and fuzzy PID controller. The results demonstrate that the EK-PCMC significantly outperformed the PCMC, reducing the integral square error (ISE) and integral absolute error (IAE) by a factor of 3.88 and 4.86, respectively. In addition, the EK-PCMC outperformed the fuzzy PID controller in terms of transient response and steady-state performance. Our study highlights the effectiveness of the proposed EK-PCMC in improving the regulation of the output power of an ESG and improving surgical outcomes.

Expert knowledge-based peak current mode control of electrosurgical generators for improved output power regulation

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution 4.0 International License.

Electrosurgical generators (ESG) are widely used in medical procedures to cut and coagulate tissue. Accurate control of the output power is crucial for...

Expert knowledge-based peak current mode control of electrosurgical generators for improved output power regulation

Online veröffentlicht: 17. Nov. 2023

Seitenbereich: 32 - 46

Eingereicht: 15. Mai 2023

Akzeptiert: 13. Nov. 2023

DOI: https://doi.org/10.2478/joeb-2023-0005

Schlüsselwörter
Electro-surgery, tissue burning, tissue impedance, Peak current mode control, Expert knowledge control

© 2023 Muhammad Mohsin Rafiq et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Expert knowledge-based peak current mode control of electrosurgical generators for improved output power regulation

Online veröffentlicht: 17. Nov. 2023

Seitenbereich: 32 - 46

Eingereicht: 15. Mai 2023

Akzeptiert: 13. Nov. 2023

DOI: https://doi.org/10.2478/joeb-2023-0005

SchlüsselwörterElectro-surgery, tissue burning, tissue impedance, Peak current mode control, Expert knowledge control

© 2023 Muhammad Mohsin Rafiq et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Electro-surgery, tissue burning, tissue impedance, Peak current mode control, Expert knowledge control