EEG signal processing in anesthesia-using wavelet-based informational tools

被引：0
|
作者：
Ye, Zhiqian [1 ]
Tian, Fuying [1 ]
Weng, Jianfeng [1 ]
机构：
[1] Zhejiang Univ, Coll Biomed Engn & Sci Instrumentat, Hangzhou 310027, Peoples R China
来源：
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
关键词：
wavelet analysis; wavelet entropy; depth of anesthesia; electroencephalogram (EEG);
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A new tools of wavelet entropy (WE) is applied to characterize the dynamical properties of EEGs for purpose of evaluating the depth of anesthesia (DOA). 31 cases are analysed with WE, and the result shows the WE measure for EEGs can distinguish awake and asleep state in anesthesia with a high accuracy of 95%. Compared with C(n) complexity, the WE demonstrates the same good performance, and needs shorter data length for analysis. These remind that WE is a potential quantifier of DOA.
引用
收藏
页码：4127 / 4129
页数：3
相关论文
共 50 条
  • [21] Wavelet-based feature extraction for classification of epileptic seizure EEG signal
    Sharmila A.
    Mahalakshmi P.
    Journal of Medical Engineering and Technology, 2017, 41 (08): : 670 - 680
  • [22] Signal Processing on Heart Rate Signals Using the Wavelet-based Contourlet Transform and Multifractal
    Shu, Zhenghua
    Liu, Guodong
    Xie, Zhihua
    Xiong, Ying
    2015 8th International Congress on Image and Signal Processing (CISP), 2015, : 1479 - 1483
  • [23] Wavelet-Based EEG Processing for Epilepsy Detection Using Fuzzy Entropy and Associative Petri Net
    Chiang, Hsiu-Sen
    Chen, Mu-Yen
    Huang, Yu-Jhih
    IEEE ACCESS, 2019, 7 : 103255 - 103262
  • [24] Wavelet-based signal extrapolation
    Croft, MJ
    Hogan, JA
    ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 752 - 755
  • [25] A wavelet-based estimating depth of anesthesia
    Zoughi, Toktam
    Boostani, Reza
    Deypir, Mahmood
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 25 (08) : 1710 - 1722
  • [26] A primer for EEG signal processing in anesthesia
    Rampil, IJ
    ANESTHESIOLOGY, 1998, 89 (04) : 980 - 1002
  • [27] Analysis of gear rattle by means of a wavelet-based signal processing procedure
    Brancati, Renato
    Rocca, Ernesto
    Savino, Sergio
    Farroni, Flavio
    MECCANICA, 2013, 48 (06) : 1399 - 1413
  • [28] Wavelet-based signal processing of in vitro ultrasonic measurements at the proximal femur
    Dencks, Stefanie
    Barkmann, Reinhard
    Padilla, Frederic
    Haiat, Guillaume
    Laugier, Pascal
    Glueer, Claus-C.
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2007, 33 (06): : 970 - 980
  • [29] Analysis of gear rattle by means of a wavelet-based signal processing procedure
    Renato Brancati
    Ernesto Rocca
    Sergio Savino
    Flavio Farroni
    Meccanica, 2013, 48 : 1399 - 1413
  • [30] Single Particle Detection Enhancement with Wavelet-based Signal Processing Technique
    Ganjalizadeh, V.
    Meena, G. G.
    Stott, M. A.
    Schmidt, H.
    Hawkins, A. R.
    2019 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2019,
12345