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2017 | OriginalPaper | Chapter

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

Authors : José Luis Casteleiro-Roca, Juan Albino Méndez Pérez, José Antonio Reboso-Morales, Francisco Javier de Cos Juez, Francisco Javier Pérez-Castelo, José Luis Calvo-Rolle

Published in: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16

Publisher: Springer International Publishing

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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.

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Metadata
Title
An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia
Authors
José Luis Casteleiro-Roca
Juan Albino Méndez Pérez
José Antonio Reboso-Morales
Francisco Javier de Cos Juez
Francisco Javier Pérez-Castelo
José Luis Calvo-Rolle
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-47364-2_28

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