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An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia

  • José Luis Casteleiro-RocaEmail author
  • Juan Albino Méndez Pérez
  • José Antonio Reboso-Morales
  • Francisco Javier de Cos Juez
  • Francisco Javier Pérez-Castelo
  • José Luis Calvo-Rolle
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 527)

Abstract

Nowadays, the engineering tools play an important role in medicine, regardless of the area. The present research is focused in anesthesiology, specifically on the behavior of sedated patients. The work shows the Bispectral Index Signal (BIS) modeling of patients undergoing general anesthesia during surgery. With the aim of predicting the patient BIS signal, a model that allows to know its performance from the Electromyogram (EMG) and the propofol infusion rate has been created. The proposal has been achieved by using clustering combined with regression techniques and using a real dataset obtained from patients undergoing general anesthesia. Finally, the created model has been tested also with data from real patients, and the results obtained attested the accuracy of the model.

Keywords

EMG BIS Clustering SOM MLP SVM 

Notes

Acknowledgments

This study was conducted under the auspices of Research Project \(DPI2010-18278\), supported by the Spanish Ministry of Innovation and Science.

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© Springer International Publishing AG 2017

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Authors and Affiliations

  • José Luis Casteleiro-Roca
    • 1
    Email author
  • Juan Albino Méndez Pérez
    • 2
  • José Antonio Reboso-Morales
    • 2
  • Francisco Javier de Cos Juez
    • 3
  • Francisco Javier Pérez-Castelo
    • 1
  • José Luis Calvo-Rolle
    • 1
  1. 1.Department of Industrial EngineeringUniversity of A CoruñaFerrol, A CoruñaSpain
  2. 2.Dpto. de Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de ComputadoresUniversity of La LagunaS/C de TenerifeSpain
  3. 3.Department of Mining ExploitationUniversity of OviedoOviedoSpain

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