431 related articles for article (PubMed ID: 28392169)
1. Nonlinear dynamical analysis of sleep electroencephalography using fractal and entropy approaches.
Ma Y; Shi W; Peng CK; Yang AC
Sleep Med Rev; 2018 Feb; 37():85-93. PubMed ID: 28392169
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Nonlinear-analysis of human sleep EEG using detrended fluctuation analysis.
Lee JM; Kim DJ; Kim IY; Suk Park K; Kim SI
Med Eng Phys; 2004 Nov; 26(9):773-6. PubMed ID: 15564114
[TBL] [Abstract][Full Text] [Related]
5. [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]
6. EEG complexity during sleep: on the effect of micro and macro sleep structure.
Chouvarda I; Rosso V; Mendez MO; Bianchi AM; Parrino L; Grassi A; Terzano M; Cerutti S; Maglaveras N
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5959-62. PubMed ID: 21096948
[TBL] [Abstract][Full Text] [Related]
7. Assessment of the EEG complexity during activations from sleep.
Chouvarda I; Rosso V; Mendez MO; Bianchi AM; Parrino L; Grassi A; Terzano M; Cerutti S
Comput Methods Programs Biomed; 2011 Dec; 104(3):e16-28. PubMed ID: 21156327
[TBL] [Abstract][Full Text] [Related]
8. Complexity-based classification of EEG signal in normal subjects and patients with epilepsy.
Namazi H; Aghasian E; Ala TS
Technol Health Care; 2020; 28(1):57-66. PubMed ID: 31104032
[TBL] [Abstract][Full Text] [Related]
9. Automatic sleep scoring: a search for an optimal combination of measures.
Krakovská A; Mezeiová K
Artif Intell Med; 2011 Sep; 53(1):25-33. PubMed ID: 21742473
[TBL] [Abstract][Full Text] [Related]
10. Nonlinear dynamical systems effects of homeopathic remedies on multiscale entropy and correlation dimension of slow wave sleep EEG in young adults with histories of coffee-induced insomnia.
Bell IR; Howerter A; Jackson N; Aickin M; Bootzin RR; Brooks AJ
Homeopathy; 2012 Jul; 101(3):182-92. PubMed ID: 22818237
[TBL] [Abstract][Full Text] [Related]
11. Nonlinear, fractal, and spectral analysis of the EEG of lizard, Gallotia galloti.
González J; Gamundi A; Rial R; Nicolau MC; de Vera L; Pereda E
Am J Physiol; 1999 Jul; 277(1):R86-93. PubMed ID: 10409261
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Bivariate global frequency analysis versus chaos theory. A comparison for sleep EEG data.
Ziller M; Frick K; Herrmann WM; Kubicki S; Spieweg I; Winterer G
Neuropsychobiology; 1995; 32(1):45-51. PubMed ID: 7566522
[TBL] [Abstract][Full Text] [Related]
14. Comparison of fractal and power spectral EEG features: effects of topography and sleep stages.
Weiss B; Clemens Z; Bódizs R; Halász P
Brain Res Bull; 2011 Apr; 84(6):359-75. PubMed ID: 21147200
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. [Application of complexity sequence in sleep staging based on sleep EEG data].
Long F; Zhang D; Fan L; Wu X; Feng H
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Mar; 20(1):60-3. PubMed ID: 12744164
[TBL] [Abstract][Full Text] [Related]
19. Concepts of EEG processing: from power spectrum to bispectrum, fractals, entropies and all that.
Schwilden H
Best Pract Res Clin Anaesthesiol; 2006 Mar; 20(1):31-48. PubMed ID: 16634412
[TBL] [Abstract][Full Text] [Related]
20. Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations.
Lau ZJ; Pham T; Chen SHA; Makowski D
Eur J Neurosci; 2022 Oct; 56(7):5047-5069. PubMed ID: 35985344
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]