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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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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Casteleiro-Roca, J.L., Pérez, J.A.M., Reboso-Morales, J.A., de Cos Juez, F.J., Pérez-Castelo, F.J., Calvo-Rolle, J.L. (2017). An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia. In: Graña, M., López-Guede, J.M., Etxaniz, O., Herrero, Á., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. SOCO CISIS ICEUTE 2016 2016 2016. Advances in Intelligent Systems and Computing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-47364-2_28
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DOI: https://doi.org/10.1007/978-3-319-47364-2_28
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