Lippincott Williams & Wilkins



Appendix 1. Listing of included articlesDepth of Anesthesia Monitoring1.Al-Kadi MI, Reaz MB, Ali MAM: Evolution of Electroencephalogram Signal Analysis Techniques during Anesthesia. Sensors 2013; 13:6605–352.Allen R, Smith D: Neuro-fuzzy closed-loop control of depth of anaesthesia. Artif Intell Med 2001; 21:185–913.Benzy VK, Jasmin EA, Koshy RC, Amal F: Wavelet Entropy based classification of depth of anesthesia 2016:521–4 doi:10.1109/ICCTICT.2016.75146354.Benzy VK, Jasmin EA, Koshy RC, Amal F, Indiradevi KP: Relative Wave Energy based Adaptive Neuro-Fuzzy Inference System model for the Estimation of Depth of Anaesthesia. J Integr Neurosci 2018; 17:69–825.Blokland Y, Farquhar J, Mourisse J, Scheffer G, Lerou G, Bruhn J: Towards a Novel Monitor of Intraoperative Awareness: Selecting Paradigm Settings for a Movement-Based Brain-Computer Interface. PLoS One 2012; 76.Chen YJ, Chen SC, Chen PJ: Prediction of Depth of Sedation from Biological Signals Using Continuous Restricted Boltzmann Machine. Math Probl Eng 2014 doi:10.1155/2014/1890407.Co?kun M, Gürüler H, Istanbullu A, Peker M: Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network. J Med Syst 2015; 398.Eagleman S, Drover D: Calculations of consciousness: Electroencephalography analyses to determine anesthetic depth. Curr Opin Anaesthesiol 2018; 31:431–89.Esmaeilpour M, Mohammadi ARA: Analyzing the EEG Signals in Order to Estimate the Depth of Anesthesia Using Wavelet and Fuzzy Neural Networks. Int J Interact Multimed Artif Intell 2016; 4:12–510.Ghanatbari M, Dehnavi ARM, Rabbani H, Mahoori AR: Estimating the depth of anesthesia by applying sub parameters to an artificial neural network during general anesthesia. Int Conf Inf Technol Appl Biomed 2009:1–4 doi:10.1109/ITAB.2009.539443411.Ghanatbari M, Mehridehnavi AR, Rabbani H, Mahoori AR, Mehrjoo M: A comparative study of the output correlations between wavelet transform, neural and neuro fuzzy networks and BIS index for depth of anesthesia. IEEE Symp Ind Electron Appl 2010:655–9 doi:10.1109/ISIEA.2010.567938312.Greene BR, Mahon P, McNamara B, Boylan GB, Shorten G: Automated Estimation of Sedation depth from the EEG. 29th Annu Int Conf IEEE Eng Med Biol Soc 2007:3188–91 doi:10.1109/IEMBS.2007.435300713.Huang JR, Fan SZ, Abbod MF, Jen KK, Wu JF, Shieh JS: Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia. Entropy 2013; 15:3325–3914.Huang LY, Ju FC, Zhnag EK, Cheng JZ, Wolf LJ, Strock JL: Real-time estimation of depth of anaesthesia using the mutual information of electroencephalograms. 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