Anesthesia in the Signal Processing Methods
10.3969/j.issn.1671-7104.2015.05.003
- VernacularTitle:麻醉过程中脑电信号处理方法研究
- Author:
Jiajun GU
1
;
Yan HUANG
;
Jilun YE
;
Kaijun WANG
;
Meimei ZHANG
Author Information
1. 深圳大学医学院
- Keywords:
anesthesia;
EEG;
denoising;
filtering
- From:
Chinese Journal of Medical Instrumentation
2015;(5):321-323
- CountryChina
- Language:Chinese
-
Abstract:
Anesthesia plays an essential role in clinical operations. Guiding anesthesia by EEG signals is one of the most promising methods at present and it has obtained good results. The analysis and process of the EEG signals in anesthesia can provide clean signal for further research. This paper used variance threshold method to remove the mutation fast and large interfering signals; and used notch filter to remove frequency interference, smoothing filter to remove baseline drift and Butterworth low-pass filter to remove high frequency noise at the same time. In addition to this, the translation invariant wavelet method to remove interference noise on the signals which was after the classical filter and retained non-stationary characteristics was used to evaluate parameter calculation. By comparing the calculated parameters from treated signal using this paper’s methods and untreated signal and standard signal, the standard deviation and correlation has been improved, particularly the major parameters BetaR, which provides better signal for integration of multi-parameter to evaluate depth of anesthesia index for the latter.
