These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 26052361)

  • 1. Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables.
    Shalbaf R; Behnam H; Jelveh Moghadam H
    Cogn Neurodyn; 2015 Feb; 9(1):41-51. PubMed ID: 26052361
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Monitoring the depth of anesthesia using entropy features and an artificial neural network.
    Shalbaf R; Behnam H; Sleigh JW; Steyn-Ross A; Voss LJ
    J Neurosci Methods; 2013 Aug; 218(1):17-24. PubMed ID: 23567809
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Monitoring the Depth of Anesthesia Using a New Adaptive Neurofuzzy System.
    Shalbaf A; Saffar M; Sleigh JW; Shalbaf R
    IEEE J Biomed Health Inform; 2018 May; 22(3):671-677. PubMed ID: 28574372
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia.
    Gu Y; Liang Z; Hagihira S
    Sensors (Basel); 2019 May; 19(11):. PubMed ID: 31159263
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bispectral index monitor: an evidence-based analysis.
    Medical Advisory Secretariat
    Ont Health Technol Assess Ser; 2004; 4(9):1-70. PubMed ID: 23074459
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Depth of anesthesia monitoring in Norway-A web-based survey.
    Aasheim A; Rosseland LA; Leonardsen AL; Romundstad L
    Acta Anaesthesiol Scand; 2024 Jul; 68(6):781-787. PubMed ID: 38551019
    [TBL] [Abstract][Full Text] [Related]  

  • 7. EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.
    Liu Q; Chen YF; Fan SZ; Abbod MF; Shieh JS
    Med Biol Eng Comput; 2017 Aug; 55(8):1435-1450. PubMed ID: 27995430
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network.
    Li R; Wu Q; Liu J; Wu Q; Li C; Zhao Q
    Front Neurosci; 2020; 14():26. PubMed ID: 32116494
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Characterizing Awake and Anesthetized States Using a Dimensionality Reduction Method.
    Mirsadeghi M; Behnam H; Shalbaf R; Jelveh Moghadam H
    J Med Syst; 2016 Jan; 40(1):13. PubMed ID: 26573650
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Comparison of Multiscale Permutation Entropy Measures in On-Line Depth of Anesthesia Monitoring.
    Su C; Liang Z; Li X; Li D; Li Y; Ursino M
    PLoS One; 2016; 11(10):e0164104. PubMed ID: 27723803
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessment of Anesthesia Depth Using Effective Brain Connectivity Based on Transfer Entropy on EEG Signal.
    Sanjari N; Shalbaf A; Shalbaf R; Sleigh J
    Basic Clin Neurosci; 2021; 12(2):269-280. PubMed ID: 34925723
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiscale permutation entropy analysis of EEG recordings during sevoflurane anesthesia.
    Li D; Li X; Liang Z; Voss LJ; Sleigh JW
    J Neural Eng; 2010 Aug; 7(4):046010. PubMed ID: 20581428
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Time-Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring.
    Mousavi SM; Asgharzadeh-Bonab A; Ranjbarzadeh R
    Comput Intell Neurosci; 2021; 2021():8430565. PubMed ID: 34422035
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improved spectrum analysis in EEG for measure of depth of anesthesia based on phase-rectified signal averaging.
    Liu Q; Chen YF; Fan SZ; Abbod MF; Shieh JS
    Physiol Meas; 2017 Feb; 38(2):116-138. PubMed ID: 28033111
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Electroencephalogram variability analysis for monitoring depth of anesthesia.
    Chen YF; Fan SZ; Abbod MF; Shieh JS; Zhang M
    J Neural Eng; 2021 Nov; 18(6):. PubMed ID: 34695812
    [No Abstract]   [Full Text] [Related]  

  • 16. Developing a robust model to predict depth of anesthesia from single channel EEG signal.
    Alsafy I; Diykh M
    Phys Eng Sci Med; 2022 Sep; 45(3):793-808. PubMed ID: 35790625
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EEG entropy measures in anesthesia.
    Liang Z; Wang Y; Sun X; Li D; Voss LJ; Sleigh JW; Hagihira S; Li X
    Front Comput Neurosci; 2015; 9():16. PubMed ID: 25741277
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Monitoring the level of hypnosis using a hierarchical SVM system.
    Shalbaf A; Shalbaf R; Saffar M; Sleigh J
    J Clin Monit Comput; 2020 Apr; 34(2):331-338. PubMed ID: 30982945
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic anesthesia depth staging using entropy measures and relative power of electroencephalogram frequency bands.
    Jahanseir M; Setarehdan SK; Momenzadeh S
    Australas Phys Eng Sci Med; 2018 Dec; 41(4):919-929. PubMed ID: 30338496
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Depth of Anesthesia and Nociception Monitoring: Current State and Vision For 2050.
    Laferrière-Langlois P; Morisson L; Jeffries S; Duclos C; Espitalier F; Richebé P
    Anesth Analg; 2024 Feb; 138(2):295-307. PubMed ID: 38215709
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.