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oai:gredos.usal.es:10366/1349022025-05-28T11:25:34Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

Casteleiro Roca, José L. Méndez Pérez, Juan A. Piñón Pazos, Andrés J. Calvo Rolle, José L. Corchado Rodríguez, Emilio Santiago Computer Science All fields of science have advanced and still advance significantly. One of the facts that contributes positively is the synergy between areas. In this case, the present research shows the Electromyogram (EMG) modeling of patients undergoing to anesthesia during surgery. With the aim of predicting the patient EMG signal, a model that allows to know its performance from the Bispectral Index (BIS) and the Propofol infusion rate has been developed. The proposal has been achieved by using clustering combined with regression techniques and using a real dataset obtained from patients undergoing to anesthesia during surgeries. Finally, the created model has been tested with very satisfactory results. 2017-09-06 2017-09-06 2015-06 info:eu-repo/semantics/conferenceObject 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing . Volumen 368, pp. 273-283. 978-3-319-19718-0(Print) / 978-3-319-19719-7(Online) 2194-5357(Print) / 2194-5365(Online) http://dx.doi.org/10.1007/978-3-319-19719-7_24 http://hdl.handle.net/10366/134902 en https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivs 3.0 Unported Springer Science + Business Media