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Comparative analysis of different inverters and controllers to investigate performance of electrosurgical generators under variable tissue impedance

Mahdi Ali Jafer, Abood Saber Hussban, Mohammed Ridha Ali, Mohammed Mohammed Jamal

Acta Innovations

2023

no. 48

61--74

Electrosurgical generators (ESGs) are currently the most widely used surgical technology for clinical operations. The main disadvantage of ESGs is their output power is irregular due to the variable tissue impedance. The heat dissipation caused by the high amount of thermal energy generated leads to medical complications for both patient and surgeon. In this research, various inverter topologies and power controllers are investigated to specify the best structure that ensures best performance. The type of inverter topologies investigated are three level and five level, while the PID structures investigated are integer order (IO-PID) and fractional order (FO-PID). The simulation results indicate that FO-PID with five level inverters is better than IO-PID with three level inverters in terms of minimum heat dissipation rate and THD of the output voltage and current.

Tissue coefficient as a novel index in bioelectric impedance analysis researches and applications

Li Ying, Ma Ren, Wang Xin, Jin Jingna, Wang He, Liu Zhipeng, Yin Tao

Biocybernetics and Biomedical Engineering

2020

Vol. 40, no. 3

950--964

Background: Bioimpedance is of great importance in both basic and clinical researches. Though several parameters have been used in detection and analyzing the condition of the tissues and human body epidemically and clinically, we hypothesize that the ratio of resistive and capacitive components of tissues could be discriminative in bioelectric impedance analysis (BIA) related researches. Materials and methods: In this article, we introduced a newly coined parameter, tissue coefficient, to the open data from an online database. Results: The 54 kinds of tissues can be classified into 4 categories: (1) liquid, (2) nail, (3) stomach & muscle, (4) fat & brain. The related time coefficient is especially useful to characterize the liquid-like tissues. Conclusion: The results suggest that the tissue coefficient is promising in distinguishing different tissues, and other BIA-related (bioelectric impedance analysis) scenarios.