EEG entropy measures in anesthesia
Objective: Entropy algorithms have been widely used in analyzing EEG signals during anesthesia. However, a systematic comparison of these entropy algorithms in assessing anesthesia drugs’ effect is lacking. In this study, we compare the capability of twelve entropy indices for monitoring depth of an...
Main Authors: | Zhenhu eLiang, Yinghua eWang, Xue eSun, Duan eLi, Logan James Voss, Jamie eSleigh, Satoshi eHagihira, Xiaoli eLi |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2015-02-01
|
Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00016/full |
Similar Items
-
Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia
by: Yue Gu, et al.
Published: (2019-05-01) -
Pharmacodynamics and Pharmacokinetics of HSK3486, a Novel 2,6-Disubstituted Phenol Derivative as a General Anesthetic
by: Juan Liao, et al.
Published: (2022-02-01) -
The relationship between the effect-site concentration of propofol and sedation scale in children: a pharmacodynamic modeling study
by: Young-Eun Jang, et al.
Published: (2021-09-01) -
Neuromuscular blockade in the elderly patient
by: Lee LA, et al.
Published: (2016-06-01) -
Anesthetic action on extra-synaptic receptors: effects in neural population models of EEG activity
by: Meysam eHashemi, et al.
Published: (2014-12-01)