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Dynamic scaling behavior of human brain electroencephalogram

Yuan, J.W.; Zheng, B.; Pan, C.P.; Wu, Y.Z.; Trimper, S. - In: Physica A: Statistical Mechanics and its Applications 364 (2006) C, pp. 315-323

After filtering out the α and β peaks in the power spectrum of the human brain electroencephalogram signals Y(t′), the probability distribution of the variation ΔY(t′)≡Y(t′+Δt)-Y(t′) exhibits a dynamic scaling behavior. The auto-correlation functions, persistence probabilities and...

Persistent link: https://www.econbiz.de/10011061962

Multifractal parameters as an indication of different physiological and pathological states of the human brain

Dutta, Srimonti; Ghosh, Dipak; Samanta, Shukla; Dey, Santanu - In: Physica A: Statistical Mechanics and its Applications 396 (2014) C, pp. 155-163

This paper presents a study on multifractal parameters of EEG patterns on the human brain. Multifractal detrended fluctuation analysis was applied to human EEG for normal and epileptic patients in different states. The results show that the degree of multifractality of EEG for patients in an...

Persistent link: https://www.econbiz.de/10010730340

Quantitative EEG analysis of the maturational changes associated with childhood absence epilepsy

Rosso, O.A.; Hyslop, W.; Gerlach, R.; Smith, R.L.L.; … - In: Physica A: Statistical Mechanics and its Applications 356 (2005) 1, pp. 184-189

This study aimed to examine the background electroencephalography (EEG) in children with childhood absence epilepsy, a … those patients demonstrating absence seizure activity, and compare it with children without absence epilepsy. This … patients versus controls. For all channels combined, patients with absence epilepsy showed (statistically significant) lower …

Persistent link: https://www.econbiz.de/10010872932

Dynamic analysis of heartbeat rate signals of epileptics using multidimensional phase space reconstruction approach

Su, Zhi-Yuan; Wu, Tzuyin; Yang, Po-Hua; Wang, Yeng-Tseng - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 10, pp. 2293-2305

as epilepsy, cardiac disease and so forth. The current study analyses the dynamics of the heartbeat rate signal of known … epilepsy sufferers in order to obtain a detailed understanding of the heart rate pattern during a seizure event. In the …

Persistent link: https://www.econbiz.de/10010589476

Computational modeling of the dependence of kindling rate on network properties

Biswal, B.; Niranjan, B.R.; Ullal, G.; Dasgupta, C. - In: Physica A: Statistical Mechanics and its Applications 364 (2006) C, pp. 565-580

network model for kindling of focal epilepsy. Simulations are performed for models of both chemical and electrical kindling …

Persistent link: https://www.econbiz.de/10010589974

A three-state dynamical model for religious affiliation

McCartney, Mark; Glass, David H. - In: Physica A: Statistical Mechanics and its Applications 419 (2015) C, pp. 145-152

In the last century the western world has seen a rapid increase in the number of people describing themselves as affiliated with no religious group. We construct a set of models using coupled differential equations in which members of a society can be in one of three groups; religiously...

Persistent link: https://www.econbiz.de/10011117826

Cancer and nonextensive statistics

González, Jorge A.; Rondón, Irving - In: Physica A: Statistical Mechanics and its Applications 369 (2006) 2, pp. 645-654

We propose a new model of cancer growth based on nonextensive entropy. The evolution equation depends on the nonextensive parameter q. The exponential, the logistic, and the Gompertz growth laws are particular cases of the generalized model. Experimental data of different tumors have been shown...

Persistent link: https://www.econbiz.de/10011060442