Comparison of Permutation Entropy Index and Bispectral Index for Monitoring Effects of Anesthetic Drugs to Brain Activity

This paper focuses on the comparison of the permutation entropy index and the bispectral index for the estimation of depth of anesthesia. First, we improve the permutation entropy index proposed in with an outlier detection method. Then, the correlation between the permutation entropy index and the bispectral index of EEG series is calculated with seven patients´ EEG recordings. A critical anesthesia line is quantified to ensure that the permutation entropy index could obtain a similar result with the bispectral index. The significant correlation and high computational efficacy make sure that the permutation entropy index could replace the bispectral index for estimation of depth of anesthesia in the future.