Design and Implementation of a Didactic Monopolar Electrosurgical Simulator for Biomedical Engineering Education

Nicolas Nava Angulo, Elias Prudencio Chavez Jaldin, Rommer Alex Ortega Martinez and Eynar Calle Viles

eVitroKhem, 2025, vol. 4, 138-138

Abstract: This work presents the development of a didactic monopolar electrosurgical unit (ESU) simulator, designed as a support tool for the technical training in the handling and basic operation of this medical device within academic environments. The simulator aims to facilitate both theoretical understanding and practical experience of the electrosurgical unit’s operating principles, allowing students to interact with a functional system that replicates its primary modes: cutting and coagulation. The system architecture is based on an ESP32 microcontroller, which generates PWM signals within an adjustable range of 200 kHz to 1 MHz, controlled via rotary encoder potentiometers, and displayed in real time through an LCD screen with I2C interface. The power stage integrates an IRFZ44N MOSFET and a high-frequency transformer, configured to maintain energy levels within safe limits. The activation circuit incorporates 4N25 optocouplers, ensuring electrical isolation between user controls and the power electronics. This simulator is conceived as a formative platform capable of replicating realistic operational scenarios, promoting safe, scalable, and practical learning—particularly suited for biomedical engineering education and related disciplines.

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:evitro:2025v4a31

DOI: 10.56294/evk2025138

Access Statistics for this article

More articles in eVitroKhem from AG Editor (Argentina)
Bibliographic data for series maintained by Javier Gonzalez-Argote ().