Abstract
In the anesthesiology area, supporting for surgical interventions are relevant to make these procedures pain-free and comfortable for the patients. Nowadays, complexity in those methods can be simple, where medical doctors perform entire work, or assistance systems for making decisions in this task. The purpose of this paper is to present the comparison between the decision making in anesthesiology process given by medical personnel and a fuzzy logic system output based on the same information. Results based on Kappa index show that fuzzy system can provide information with almost perfect agreement about quantities of gas that have to be supplied to patients in anesthesiology action.
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References
Gómez Oquendo, F.J., Casas Arroyave, F.D., Fernández, J.M., Grisales, Á.G.: Total intravenous anesthesia in a closed loop system: report of the first case in Colombia. Rev. Colomb. Anestesiol. 41, 306–310 (2013)
Jaffe, R.A.: Anesthesiologist’s Manual of Surgical Procedures. Lippincott Williams & Wilkins, Philadelphia (2014)
Li, T.-N., Li, Y.: Depth of anaesthesia monitors and the latest algorithms. Asian Pac. J. Trop. Med. 7, 429–437 (2014)
Chen, Z., Purdon, P.L., Harrell, G., Pierce, E.T., Walsh, J., Brown, E.N., Barbieri, R.: Dynamic assessment of baroreflex control of heart rate during induction of propofol anesthesia using a point process method. Ann. Biomed. Eng. 39, 260–276 (2011)
Yu, S., Tan, K.K., Sng, B.L., Li, S., Sia, A.T.H.: Automatic identification of needle insertion site in epidural anesthesia with a cascading classifier. Ultrasound Med. Biol. 40, 1980–1990 (2014)
Zoughi, T., Boostani, R., Deypir, M.: A wavelet-based estimating depth of anesthesia. Eng. Appl. Artif. Intell. 25, 1710–1722 (2012)
Nguyen-Ky, T., Wen, P.P., Li, Y.: Consciousness and depth of anesthesia assessment based on bayesian analysis of EEG signals. IEEE Trans. Biomed. Eng. 60, 1488–1498 (2013)
Mirza, M., GholamHosseini, H., Harrison, M.J.: A fuzzy logic-based system for anaesthesia monitoring. In: 2010 Annual International Conference of the IEEE on Engineering in Medicine and Biology Society (EMBC), pp. 3974–3977 (2010)
Baig, M.M., GholamHosseini, H., Kouzani, A., Harrison, M.J.: Anaesthesia monitoring using fuzzy logic. J. Clin. Monit. Comput. 25, 339 (2011)
Benzy, V.K., Jasmin, E.A.: A combined wavelet and neural network based model for classifying depth of anaesthesia. Procedia Comput. Sci. 46, 1610–1617 (2015)
Shalbaf, R., Behnam, H., Sleigh, J.W., Steyn-Ross, A., Voss, L.J.: Monitoring the depth of anesthesia using entropy features and an artificial neural network. J. Neurosci. Meth. 218, 17–24 (2013)
Daabiss, M.: American Society of Anaesthesiologists physical status classification. Indian J. Anaesth. 55, 111 (2011)
Viera, A.J., Garrett, J.M.: Understanding interobserver agreement: the Kappa statistic. Fam. Med. 37, 360–363 (2005)
Saraouglu, H.M., Şanlı, S.: A fuzzy logic-based decision support system on anesthetic depth control for helping anesthetists in surgeries. J. Med. Syst. 31, 511–519 (2007)
Duch, W.: Uncertainty of data, fuzzy membership functions, and multilayer perceptrons. IEEE Trans. Neural Netw. 16, 10–23 (2005)
Mamdani, E.H.: Application of fuzzy logic to approximate reasoning using linguistic synthesis. In: Proceedings of the Sixth International Symposium on Multiple-Valued Logic, pp. 196–202 (1976)
Acknowledgments
Authors want to thank the Universidad Antonio Nariño, under project number 2016207 with identification PI/UAN-2017-606GIBIO, Universidad del Cauca and Universidad del Rosario for the support and financial assistance in this work.
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Guateque, M.L., Orjuela-Cañón, A.D., Acuña-Bravo, W., Jaramillo, J.J. (2017). Fuzzy Logic Systems for Assistance in the Anesthesiology Processes. In: Figueroa-García, J., López-Santana, E., Villa-Ramírez, J., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2017. Communications in Computer and Information Science, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-319-66963-2_37
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DOI: https://doi.org/10.1007/978-3-319-66963-2_37
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