Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks

Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients’ Consciousness Level Based on Anesthesiologists Experience

(2015) George J. A. Jiang et al.   Biomed Research International

Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

(2013) Jeng-Rung Huang et al.   Entropy

Ensembled neural networks for brain death prediction for patients with severe head injury

(2011) Maysam F. Abbod et al.   Biomedical Signal Processing and Control

The effects of mivacurium-induced neuromuscular block on Bispectral Index and Cerebral State Index in children under propofol anesthesia - a prospective randomized clinical trial

(2010) FRANK WEBER et al.   PEDIATRIC ANESTHESIA

Breakdown in cortical effective connectivity during midazolam-induced loss of consciousness

(2010) F. Ferrarelli et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Behaviour of spectral entropy, spectral edge frequency 90%, and alpha and beta power parameters during low-dose propofol infusion

(2008) P. Mahon et al.   BRITISH JOURNAL OF ANAESTHESIA

Validation of the index of consciousness during sevoflurane and remifentanil anaesthesia: a comparison with the bispectral index and the cerebral state index

(2008) M. Revuelta et al.   BRITISH JOURNAL OF ANAESTHESIA

Local Temporal Common Spatial Patterns for Robust Single-Trial EEG Classification

(2008) Haixian Wang et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING