BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 8889339)

  • 1. The nature of dominant Lyapunov exponent and attractor dimension curves of EEG in sleep.
    Pradhan N; Sadasivan PK
    Comput Biol Med; 1996 Sep; 26(5):419-28. PubMed ID: 8889339
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Nonlinear analysis of continuous ECG during sleep II. Dynamical measures.
    Fell J; Mann K; Röschke J; Gopinathan MS
    Biol Cybern; 2000 Jun; 82(6):485-91. PubMed ID: 10879432
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Patterns of attractor dimensions of sleep EEG.
    Pradhan N; Sadasivan PK; Chatterji S; Dutt DN
    Comput Biol Med; 1995 Sep; 25(5):455-62. PubMed ID: 8575160
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Non-linear analysis of EEG signals at various sleep stages.
    Acharya U R; Faust O; Kannathal N; Chua T; Laxminarayan S
    Comput Methods Programs Biomed; 2005 Oct; 80(1):37-45. PubMed ID: 16154231
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Nonlinear dynamical aspects of the human sleep EEG.
    Fell J; Röschke J
    Int J Neurosci; 1994 May; 76(1-2):109-29. PubMed ID: 7960460
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Nonlinear EEG dynamics during sleep in depression and schizophrenia.
    Röschke J; Mann K; Fell J
    Int J Neurosci; 1994 Apr; 75(3-4):271-84. PubMed ID: 8050867
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Discrimination of sleep stages: a comparison between spectral and nonlinear EEG measures.
    Fell J; Röschke J; Mann K; Schäffner C
    Electroencephalogr Clin Neurophysiol; 1996 May; 98(5):401-10. PubMed ID: 8647043
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deterministic chaos and the first positive Lyapunov exponent: a nonlinear analysis of the human electroencephalogram during sleep.
    Fell J; Röschke J; Beckmann P
    Biol Cybern; 1993; 69(2):139-46. PubMed ID: 8373884
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Non-linear EEG analysis in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES).
    Ferri R; Elia M; Musumeci SA; Stam CJ
    Clin Neurophysiol; 2001 Dec; 112(12):2274-80. PubMed ID: 11738199
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nonlinear dynamical analysis of the neonatal EEG time series: the relationship between sleep state and complexity.
    Janjarasjitt S; Scher MS; Loparo KA
    Clin Neurophysiol; 2008 Aug; 119(8):1812-1823. PubMed ID: 18486543
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Chaotic Analysis of Hippocampal and Cortical Sleep EEG during Various Vigilance States.
    Dahal P; Ning T; Harry Blaise J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():3064-3067. PubMed ID: 30441041
    [TBL] [Abstract][Full Text] [Related]  

  • 12. All-night sleep EEG and artificial stochastic control signals have similar correlation dimensions.
    Achermann P; Hartmann R; Gunzinger A; Guggenbühl W; Borbély AA
    Electroencephalogr Clin Neurophysiol; 1994 May; 90(5):384-7. PubMed ID: 7514985
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages.
    Pereda E; Gamundi A; Rial R; González J
    Neurosci Lett; 1998 Jul; 250(2):91-4. PubMed ID: 9697926
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Sleep EEG as a nonlinear dynamic process: a comparison of global correlation dimension of human EEG and measures of linear interdependence between channels].
    Sulimov AV; Marageĭ RA
    Zh Vyssh Nerv Deiat Im I P Pavlova; 2003; 53(2):151-5. PubMed ID: 12754840
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nonlinear analysis of sleep EEG data in schizophrenia: calculation of the principal Lyapunov exponent.
    Röschke J; Fell J; Beckmann P
    Psychiatry Res; 1995 Apr; 56(3):257-69. PubMed ID: 7568548
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Four dimensional chaos and intermittency in a mesoscopic model of the electroencephalogram.
    Dafilis MP; Frascoli F; Cadusch PJ; Liley DT
    Chaos; 2013 Jun; 23(2):023111. PubMed ID: 23822476
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nonlinear analysis of sleep EEG in depression: calculation of the largest lyapunov exponent.
    Röschke J; Fell J; Beckmann P
    Eur Arch Psychiatry Clin Neurosci; 1995; 245(1):27-35. PubMed ID: 7786909
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Analyzing sleep EEG using correlation dimension and approximate entropy].
    Jiang Z; Feng H; Liu D; Wang T
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2005 Aug; 22(4):649-53. PubMed ID: 16156242
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The calculation of the first positive Lyapunov exponent in sleep EEG data.
    Röschke J; Fell J; Beckmann P
    Electroencephalogr Clin Neurophysiol; 1993 May; 86(5):348-52. PubMed ID: 7685269
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comparison of linear and chaotic measures for rat hippocampal EEG during different vigilance states.
    Ning T; Grare A; Ning J
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3437-40. PubMed ID: 19964980
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.