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 *

166 related articles for article (PubMed ID: 29158992)

  • 21. Electroencephalogram-based anaesthetic depth monitoring in laboratory animals.
    Silva A; Antunes L
    Lab Anim; 2012 Apr; 46(2):85-94. PubMed ID: 22517991
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Depth of anaesthesia monitors and the latest algorithms.
    Li TN; Li Y
    Asian Pac J Trop Med; 2014 Jun; 7(6):429-37. PubMed ID: 25066390
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Analysis of EEG to quantify depth of anesthesia using Hidden Markov Model.
    Kim J; Hyub H; Yoon SZ; Choi HJ; Kim KM; Park SH
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():4575-8. PubMed ID: 25571010
    [TBL] [Abstract][Full Text] [Related]  

  • 24. [Evaluation of heart rate variability for monitoring the depth of anaesthesia in dogs. Investigations based on total intravenous anaesthesia using propofol alone or in combination with dexmedetomidine or remifentanil].
    Bergfeld C; Beyerbach M; Voigt AM; Kästner SB
    Tierarztl Prax Ausg K Kleintiere Heimtiere; 2015; 43(1):1-10. PubMed ID: 25428443
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Subjective assessment of depth of anaesthesia by experienced and inexperienced anaesthetists.
    Hadzidiakos D; Nowak A; Laudahn N; Baars J; Herold K; Rehberg B
    Eur J Anaesthesiol; 2006 Apr; 23(4):292-9. PubMed ID: 16438755
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Electroencephalogram-based indices applied to dogs' depth of anaesthesia monitoring.
    Brás S; Georgakis A; Ribeiro L; Ferreira DA; Silva A; Antunes L; Nunes CS
    Res Vet Sci; 2014 Dec; 97(3):597-604. PubMed ID: 25447747
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Machine Learning Based Hardware Architecture for DOA Measurement From Mice EEG.
    Chowdhury MH; Eldaly ABM; Agadagba SK; Cheung RCC; Chan LLH
    IEEE Trans Biomed Eng; 2022 Jan; 69(1):314-324. PubMed ID: 34351851
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band.
    Li T; Wen P
    Australas Phys Eng Sci Med; 2016 Sep; 39(3):773-81. PubMed ID: 27323760
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Real-time depth of anaesthesia assessment using strong analytical signal transform technique.
    Palendeng ME; Wen P; Li Y
    Australas Phys Eng Sci Med; 2014 Dec; 37(4):723-30. PubMed ID: 25412884
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques.
    Nguyen-Ky T; Wen P; Li Y; Malan M
    Comput Biol Med; 2012 Jun; 42(6):680-91. PubMed ID: 22575174
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Depth of anesthesia monitoring: a survey of attitudes and usage patterns among Australian anesthesiologists.
    Ben-Menachem E; Zalcberg D
    Anesth Analg; 2014 Nov; 119(5):1180-5. PubMed ID: 25006849
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia.
    Schmierer T; Li T; Li Y
    Health Inf Sci Syst; 2022 Dec; 10(1):10. PubMed ID: 35685297
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparative Analysis of Phase Lag Entropy and Bispectral Index as Anesthetic Depth Indicators in Patients Undergoing Thyroid Surgery with Nerve Integrity Monitoring.
    Seo KH; Kim KM; Lee SK; John H; Lee J
    J Korean Med Sci; 2019 May; 34(20):e151. PubMed ID: 31124327
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Quasi-Periodicities Detection Using Phase-Rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor.
    Liu Q; Chen YF; Fan SZ; Abbod MF; Shieh JS
    IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1773-1784. PubMed ID: 28391200
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Use of a target-controlled infusion system for propofol does not improve subjective assessment of anaesthetic depth by inexperienced anaesthesiologists.
    Rehberg B; Ryll C; Hadzidiakos D; Baars J
    Eur J Anaesthesiol; 2007 Nov; 24(11):920-6. PubMed ID: 17588273
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Evaluation of the electroencephalographic bispectral index during fentanyl-midazolam anaesthesia for cardiac surgery. Does it predict haemodynamic responses during endotracheal intubation and sternotomy?
    Driessen JJ; Harbers JB; van Egmond J; Booij LH
    Eur J Anaesthesiol; 1999 Sep; 16(9):622-7. PubMed ID: 10549462
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Propofol anaesthesia via target controlled infusion or manually controlled infusion: effects on the bispectral index as a measure of anaesthetic depth.
    Gale T; Leslie K; Kluger M
    Anaesth Intensive Care; 2001 Dec; 29(6):579-84. PubMed ID: 11771598
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 40-Hz ASSR for Measuring Depth of Anaesthesia During Induction Phase.
    Haghighi SJ; Komeili M; Hatzinakos D; Beheiry HE
    IEEE J Biomed Health Inform; 2018 Nov; 22(6):1871-1882. PubMed ID: 29990070
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 9.