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Changes in Electrocardiographic Signals During Training in Laparoscopic Surgery Simulator: A Preliminary Report

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Applied Computer Sciences in Engineering (WEA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 916))

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Abstract

The aim of this work is attempting to identify physiological characteristics of the learning process in surgery residents. As an exploratory approach, we are interested in determining statistically significant changes in electrocardiographic (ECG) signals recorded while a group of eleven first year general surgery residents were performing three basic skills tasks from the virtual reality (VR) laparoscopic simulator LapSim®. These signals were processed and heart rate (HR) was calculated to analyze it along with the overall score for each exercise. Statistical analysis was performed by means of analysis of variance showing the effects of training session, difficulty of the task and participants gender on heart rate and performance. Our preliminary experimental results show that the score obtained in the tasks improves with training session, being in the women where significant changes occur. HR analysis showed that it increases with the complexity of the task. Besides, the effect of gender on HR showed that in male group there were the significant changes with the difficulty of the task, and a decrease with the training session in the intermediate level of difficulty task.

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Acknowledgment

This work was supported by Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS), announcement N. 757 Doctorados Nacionales, and Convenio Jóvenes Investigadores e Innovadores N. 761 through the project Fortalecimiento de la plataforma tecnológica para la formación especializada en el área de la salud y el desarrollo de tecnología biomédica/Ruta N 139C.

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Authors and Affiliations

  1. Bioinstrumentation and Clinical Engineering Research Group – GIBIC, Bioengineering Department, Engineering Faculty, Universidad de Antioquia UdeA, Calle 70 No. 52-21, 050010, Medellín, Colombia

    Jazmín Ximena Suárez-Revelo, Any Ruiz-Duque & Alher Mauricio Hernández-Valdivieso

  2. Trauma and Surgery, General Surgery Department, Universidad de Antioquia, Carrera 51d # 62-29, Medellín, Colombia

    Juan Pablo Toro

  3. Simulation Center, Medicine Faculty, Universidad de Antioquia, Carrera 51d # 62-29, Medellín, Colombia

    Ana María Mejía-Bueno

Authors
  1. Jazmín Ximena Suárez-Revelo
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  2. Any Ruiz-Duque
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  3. Juan Pablo Toro
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  4. Ana María Mejía-Bueno
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  5. Alher Mauricio Hernández-Valdivieso
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Corresponding author

Correspondence to Jazmín Ximena Suárez-Revelo .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Juan G. Villegas

  3. Department of Electronics and Telecomunications Engineering, University of Antioquia, Medellín, Colombia

    Juan Rafael Orozco-Arroyave

  4. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Pablo Andres Maya Duque

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Suárez-Revelo, J.X., Ruiz-Duque, A., Toro, J.P., Mejía-Bueno, A.M., Hernández-Valdivieso, A.M. (2018). Changes in Electrocardiographic Signals During Training in Laparoscopic Surgery Simulator: A Preliminary Report. In: Figueroa-García, J., Villegas, J., Orozco-Arroyave, J., Maya Duque, P. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-00353-1_25

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  • DOI: https://doi.org/10.1007/978-3-030-00353-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00352-4

  • Online ISBN: 978-3-030-00353-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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