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Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal

  • S.I.: AI and ML applied to Health Sciences (MLHS)
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Abstract

With the aim to control and reduce the pain of patients during a surgery with general anesthesia, one of the main challenges is the proposal of safe an optimal and efficient methods of drugs administering. First step to achieve this goal is the proposal and development of right indexes that correlate satisfactory with analgesia. One of this index gives the most hopeful results is the Analgesia Nociception Index (ANI). The present research work deals the ANI response of patients during surgeries with general anesthesia with intravenous drug infusion. The main aim is to predict the ANI signal behavior regarding of the analgesic infusion rate. To do that, a hybrid intelligent model is developed, using clustering and regression techniques based on artificial neural networks and support vector regression. The proposal was validated with a dataset of surgeries real cases of patients undergoing general anesthesia. The achieved results attest for the potential of the proposed technique.

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Acknowledgements

Jose M. Gonzalez-Cava’s research was supported by the Spanish Ministry of Education, Culture and Sport (www.mecd.gob.es), under the “Formación de Profesorado” Grant FPU15/03347.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of A Coruña, Avda. 19 de febrero s/n, 15495, Ferrol, A Coruña, Spain

    José-Luis Casteleiro-Roca, Esteban Jove & José Luis Calvo-Rolle

  2. Department of Computer Science and System Engineering, University of La Laguna, Avda. Astrof. Francisco Sánchez s/n, 38200, S/C de Tenerife, Spain

    José-Luis Casteleiro-Roca, Esteban Jove, Jose M. Gonzalez-Cava & Juan Albino Méndez Pérez

  3. Departamento de Ciencia de los Materiales e Ingeniería Metalúrgica, University of Oviedo, Calle San Francisco, 1, 33004, Oviedo, Spain

    Francisco Blanco Alvarez

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  1. José-Luis Casteleiro-Roca
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Correspondence to José-Luis Casteleiro-Roca.

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Casteleiro-Roca, JL., Jove, E., Gonzalez-Cava, J.M. et al. Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal. Neural Comput & Applic 32, 1249–1258 (2020). https://doi.org/10.1007/s00521-018-3605-z

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