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 *

119 related articles for article (PubMed ID: 32200368)

  • 21. Complexity of information processing in obsessive-compulsive disorder based on fractal analysis of EEG signal.
    Yazdi-Ravandi S; Mohammadi Arezooji D; Matinnia N; Shamsaei F; Ahmadpanah M; Ghaleiha A; Khosrowabadi R
    EXCLI J; 2021; 20():462-654. PubMed ID: 33883976
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Fractal dimension of EEG signals and heart dynamics in discrete emotional states.
    Ruiz-Padial E; Ibáñez-Molina AJ
    Biol Psychol; 2018 Sep; 137():42-48. PubMed ID: 29966695
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Quantification of occipital EEG changes in Alzheimer's disease utilizing a new metric: the fractal dimension.
    Woyshville MJ; Calabrese JR
    Biol Psychiatry; 1994 Mar; 35(6):381-7. PubMed ID: 8018784
    [TBL] [Abstract][Full Text] [Related]  

  • 24. EEG signal features extraction based on fractal dimension.
    Finotello F; Scarpa F; Zanon M
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4154-7. PubMed ID: 26737209
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A classification method of different motor imagery tasks based on fractal features for brain-machine interface.
    Phothisonothai M; Nakagawa M
    J Integr Neurosci; 2009 Mar; 8(1):95-122. PubMed ID: 19412982
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Fractal dimension of EEG activity senses neuronal impairment in acute stroke.
    Zappasodi F; Olejarczyk E; Marzetti L; Assenza G; Pizzella V; Tecchio F
    PLoS One; 2014; 9(6):e100199. PubMed ID: 24967904
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Facing High EEG Signals Variability during Classification Using Fractal Dimension and Different Cutoff Frequencies.
    Salazar-Varas R; Vazquez RA
    Comput Intell Neurosci; 2019; 2019():9174307. PubMed ID: 31236108
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer's Disease.
    Smits FM; Porcaro C; Cottone C; Cancelli A; Rossini PM; Tecchio F
    PLoS One; 2016; 11(2):e0149587. PubMed ID: 26872349
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Fractality and a wavelet-chaos-neural network methodology for EEG-based diagnosis of autistic spectrum disorder.
    Ahmadlou M; Adeli H; Adeli A
    J Clin Neurophysiol; 2010 Oct; 27(5):328-33. PubMed ID: 20844443
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Temporal fractal analysis of the rs-BOLD signal identifies brain abnormalities in autism spectrum disorder.
    Dona O; Hall GB; Noseworthy MD
    PLoS One; 2017; 12(12):e0190081. PubMed ID: 29272297
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Entropy and complexity measures for EEG signal classification of schizophrenic and control participants.
    Sabeti M; Katebi S; Boostani R
    Artif Intell Med; 2009 Nov; 47(3):263-74. PubMed ID: 19403281
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Investigating fractal dimension, heart rate variability, and memory during different image sequencing regimes in young adults.
    Aguillard D; Zarubin V; Wilson C; Steinmetz KRM; Martsberger C
    Chaos; 2020 Nov; 30(11):113116. PubMed ID: 33261355
    [TBL] [Abstract][Full Text] [Related]  

  • 33. New complexity measures reveal that topographic loops of human alpha phase potentials are more complex in drowsy than in wake.
    Kalauzi A; Vuckovic A; Bojić T
    Med Biol Eng Comput; 2018 Jun; 56(6):967-978. PubMed ID: 29110182
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Predicting EEG complexity from sleep macro and microstructure.
    Chouvarda I; Mendez MO; Rosso V; Bianchi AM; Parrino L; Grassi A; Terzano M; Maglaveras N; Cerutti S
    Physiol Meas; 2011 Aug; 32(8):1083-101. PubMed ID: 21677363
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Fractal dimension of electroencephalographic time series and underlying brain processes.
    Lutzenberger W; Preissl H; Pulvermüller F
    Biol Cybern; 1995 Oct; 73(5):477-82. PubMed ID: 7578482
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Analysis of sleep-stage characteristics in full-term newborns by means of spectral and fractal parameters.
    Carrozzi M; Accardo A; Bouquet F
    Sleep; 2004 Nov; 27(7):1384-93. PubMed ID: 15586792
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Fractal dimension analysis of states of consciousness and unconsciousness using transcranial magnetic stimulation.
    Ruiz de Miras J; Soler F; Iglesias-Parro S; Ibáñez-Molina AJ; Casali AG; Laureys S; Massimini M; Esteban FJ; Navas J; Langa JA
    Comput Methods Programs Biomed; 2019 Jul; 175():129-137. PubMed ID: 31104702
    [TBL] [Abstract][Full Text] [Related]  

  • 38. [Speaker gender identification based on audio fractal dimension and pitch feature].
    Wang Z; Yang C; Wu W; Fan Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Aug; 25(4):805-10. PubMed ID: 18788284
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal.
    Namazi H; Akrami A; Nazeri S; Kulish VV
    Biomed Res Int; 2016; 2016():5469587. PubMed ID: 27699169
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparative analysis of different characteristics of automatic sleep stages.
    Zhao D; Wang Y; Wang Q; Wang X
    Comput Methods Programs Biomed; 2019 Jul; 175():53-72. PubMed ID: 31104715
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.