Time-frequency analysis of characteristic patterns of the activity of neuron ensembles in the brain by means of continuous wavelet transform

Autor:	E. Yu. Sitnikova, Alexander E. Hramov, Alexey A. Koronovskii, Vadim V. Grubov
Rok vydání:	2014
Předmět:	medicine.diagnostic_test business.industry Computer science General Physics and Astronomy Pattern recognition Sleep spindle Electroencephalography law.invention Time–frequency analysis Continuous wavelet law Intermittency medicine Artificial intelligence business Continuous wavelet transform
Zdroj:	Bulletin of the Russian Academy of Sciences: Physics. 78:1242-1245
ISSN:	1934-9432 1062-8738
DOI:	10.3103/s1062873814120090
Popis:	The time-frequency characteristics of sleep spindles on EEG are studied by means of continuous wavelet transforms. Age dependence and dependence on epileptic status of animals of these characteristics was studied, the on-off intermittency in behavior of sleep spindles was found.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::076be1f0b75d6d3d867a679bda040955 https://doi.org/10.3103/s1062873814120090 Zobrazit plný text záznamu Full text from SpringerLink