Sort entropy-based for the analysis of EEG during anesthesia

Liang Ma; Wei-Zhi Huang

doi:10.1117/12.866424

19 August 2010 Sort entropy-based for the analysis of EEG during anesthesia

Liang Ma, Wei-Zhi Huang

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782016 (2010) https://doi.org/10.1117/12.866424
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

The monitoring of anesthetic depth is an absolutely necessary procedure in the process of surgical operation. To judge and control the depth of anesthesia has become a clinical issue which should be resolved urgently. EEG collected wiil be processed by sort entrop in this paper. Signal response of the surface of the cerebral cortex is determined for different stages of patients in the course of anesthesia. EEG is simulated and analyzed through the fast algorithm of sort entropy. The results show that discipline of phasic changes for EEG is very detected accurately,and it has better noise immunity in detecting the EEG anaesthetized than approximate entropy. In conclusion,the computing of Sort entropy algorithm requires shorter time. It has high efficiency and strong anti-interference.

Citation Download Citation

Liang Ma and Wei-Zhi Huang "Sort entropy-based for the analysis of EEG during anesthesia", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782016 (19 August 2010); https://doi.org/10.1117/12.866424

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