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]