Complexity quantification of dense array EEG using sample entropy analysis.
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[1] Xin Meng,et al. Can We Measure Consciousness with EEG Complexities? , 2003, Int. J. Bifurc. Chaos.
[2] N Pradhan,et al. Use of running fractal dimension for the analysis of changing patterns in electroencephalograms. , 1993, Computers in biology and medicine.
[3] G. Pfurtscheller,et al. On the realization of an analytic high-resolution EEG , 1998, IEEE Transactions on Biomedical Engineering.
[4] W. Pritchard,et al. Dimensional analysis of no-task human EEG using the Grassberger-Procaccia method. , 1992, Psychophysiology.
[5] P. Zhao,et al. Taurine antagonizes calcium overload induced by glutamate or chemical hypoxia in cultured rat hippocampal neurons , 1999, Neuroscience Letters.
[6] M. McCloskey. Cognitive mechanisms in numerical processing: Evidence from acquired dyscalculia , 1992, Cognition.
[7] C. Elger,et al. Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss. , 1995, Electroencephalography and clinical neurophysiology.
[8] J. Kurths,et al. A Comparative Classification of Complexity Measures , 1994 .
[9] J. Martinerie,et al. Anticipating epileptic seizures in real time by a non-linear analysis of similarity between EEG recordings. , 1999, Neuroreport.
[10] A L Goldberger,et al. Gender- and age-related differences in heart rate dynamics: are women more complex than men? , 1994, Journal of the American College of Cardiology.
[11] Hiroaki Kazui,et al. Cortical activation during retrieval of arithmetical facts and actual calculation: A functional magnetic resonance imaging study , 2000, Psychiatry and clinical neurosciences.
[12] Pincus Sm,et al. Approximate Entropy: A Regularity Measure for Fetal Heart Rate Analysis , 1992, Obstetrics and gynecology.
[13] Time scale dependence of human brain dynamics. , 1999, The International journal of neuroscience.
[14] 秦 浩起,et al. Characterization of Strange Attractor (カオスとその周辺(基研長期研究会報告)) , 1987 .
[15] A. Wolf,et al. Determining Lyapunov exponents from a time series , 1985 .
[16] James Theiler,et al. Testing for nonlinearity in time series: the method of surrogate data , 1992 .
[17] P. Grassberger,et al. Characterization of Strange Attractors , 1983 .
[18] J. Bhattacharya,et al. Complexity analysis of spontaneous EEG. , 2000, Acta neurobiologiae experimentalis.
[19] J. Grafman,et al. The calculating brain: an fMRI study , 2000, Neuropsychologia.
[20] J. Martinerie,et al. The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.
[21] S M Pincus,et al. Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[22] H. Kantz,et al. Nonlinear time series analysis , 1997 .
[23] Alan St Clair Gibson,et al. The Influence of Sensory Cues on the Perception of Exertion During Exercise and Central Regulation of Exercise Performance , 2001, Sports medicine.
[24] R. Pravitha,et al. Effect of Time Scales on the Unfolding of Neural Attractors , 2001, The International journal of neuroscience.
[25] J. Richman,et al. Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.
[26] J. E. Skinner,et al. Chaos and physiology: deterministic chaos in excitable cell assemblies. , 1994, Physiological reviews.
[27] Jorge Bosch,et al. Do specific EEG frequencies indicate different processes during mental calculation? , 1999, Neuroscience Letters.
[28] R Pratap,et al. Significance of time scales in nonlinear dynamical analysis of electroencephalogram signals. , 1999, The International journal of neuroscience.
[29] Francisco J. Varela,et al. Entropy quantification of human brain spatio-temporal dynamics , 1996 .
[30] Rudolf M. Dünki,et al. Indications of nonlinearity, intraindividual specificity and stability of human EEG: the unfolding dimension , 1996 .