Cardiopulmonary resuscitation (CPR) is a critical emergency procedure that significantly increases survival rates following cardiac arrest when administered promptly and correctly. This study presents the development of a low-cost voice-guided CPR simulator equipped with real-time audiovisual feedback to support unsupervised training. The device measures chest compression depth and rate using a proximity sensor and LED indicators, while integrated audio playback provides rhythm guidance. In addition, the simulator features an electrocardiogram (ECG) signal generator capable of producing both normal and pathological waveforms, enabling training in ECG interpretation. The system is based on the ESP-WROOM-32 microcontroller, programmed in C using the Arduino IDE, and embedded in a mannequin designed to replicate thoracic resistance and respiratory motion. Developed as an academic project by biomedical engineering students, this simulator aims to improve the acquisition of CPR skills and improve the effectiveness of emergency response.

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EducaCPR: A Student-Driven Simulator for CPR and ECG Training

  • Guillermina Amaya,
  • Nicolás Crupnik,
  • Daneri Iribarren Chiara Agustina,
  • Agustina Ferraggine,
  • Valentina Manuela Garay,
  • Manuela García,
  • María Belén Krainer Romero,
  • María Albertina Loureyro,
  • Rocío Guadalupe Pacheco,
  • Teo Pignataro,
  • Facundo Sturzenegger,
  • Mauro Wamba,
  • Jorge Aníbal Martinez Garbino,
  • Mariana Beatriz Ríos,
  • Marcelo R. Risk

摘要

Cardiopulmonary resuscitation (CPR) is a critical emergency procedure that significantly increases survival rates following cardiac arrest when administered promptly and correctly. This study presents the development of a low-cost voice-guided CPR simulator equipped with real-time audiovisual feedback to support unsupervised training. The device measures chest compression depth and rate using a proximity sensor and LED indicators, while integrated audio playback provides rhythm guidance. In addition, the simulator features an electrocardiogram (ECG) signal generator capable of producing both normal and pathological waveforms, enabling training in ECG interpretation. The system is based on the ESP-WROOM-32 microcontroller, programmed in C using the Arduino IDE, and embedded in a mannequin designed to replicate thoracic resistance and respiratory motion. Developed as an academic project by biomedical engineering students, this simulator aims to improve the acquisition of CPR skills and improve the effectiveness of emergency response.