Depth of anaesthesia assessment using interval second-order difference plot and permutation entropy techniques

作者：Li, Tianning^*; Wen, Peng

来源：IET Signal Processing, 2017, 11(2): 221-227.

DOI：10.1049/iet-spr.2015.0114

• EMPIRICAL-MODE DECOMPOSITION
• APPROXIMATE ENTROPY
• EEG SIGNALS
• SEVOFLURANE
• CLASSIFICATION
• CONSCIOUSNESS
• PROPOFOL

This study presents a new method to apply the interval second-order difference plot (ISODP) and interval permutation entropy (IPE) techniques to assess the depth of anaesthesia (DoA). First, the denoised electroencephalograph signals are decomposed into 13 different frequency bands. The second-order difference plot (SODP) and permutation entropy (PE) values of each frequency band are calculated. The SODP and PE values of high-frequency bands (21.5-47 Hz) show the highest linear relationship with the anaesthesia states, therefore they are selected to form the parameter set. Then the SODP and PE parameters are fine tuned using the interval feature technique. Finally, a new index is designed using the ISODP and IPE. The new index is evaluated and compared with measured bispectral (BIS). The results show that there is a very close correlation between the proposed index and the BIS during different anaesthetic states. The new index also shows an earlier time response (3.1-59.7 s) than BIS during the change of anaesthetic states. In addition, the proposed index is able to continuously assess the DoA of patients when the quality of signal is poor and the BIS does not have any valid outputs.

• 出版日期2017-4