Opportunities comparison of fractal EEG-analizing methods applicable to detect changes in human brain activity at different external lighting

Автор: Antipov O.I., Zakharov A.V., Pyatin V.F.

Журнал: Инфокоммуникационные технологии @ikt-psuti

Рубрика: Новые информационные технологии

Статья в выпуске: 2 т.12, 2014 года.

Бесплатный доступ

This article discusses the results of practical application various methods of fractal deter-ministic chaos applied to the analysis of electroencephalograms (EEG). Was searched method for the differentiation of the state of the level of activity in the brain at different ambient light. The three methods used in the work: the method of false nearest neighbors, rescaled range Hurst and approximate entropy, a positive result was achieved only with the help of the ap-proximation entropy. Given to justify the use of these methods and discuss the results.

R/s-анализ, fractal analysis, electroencephalography, approximation entropy, hurst exponent, r/s-analysis, a modified method of false nearest neighbors

Короткий адрес: https://sciup.org/140191686

IDR: 140191686

Статья научная