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A Krakovská

Publications and source records attributed to A Krakovská.

2 recordsLinked to original sources

EEG responses to long-term audio-visual stimulation.

In this study, linear and nonlinear electroencephalogram (EEG) changes due to long-term audio-visual stimulation (AVS) were investigated. In the course of 2 months, 25 repetitions of a 20-min AVS program with stimulation frequencies in the range 2-18 Hz were applied to six healthy volunteers. EEG data were recorded from six head locations during relaxed wakefulness prior to AVS. Then linear spectral measures (total power, frequency band powers, spectral edge frequency, and spectral entropy), nonlinear measures of complexity (histogram-based entropy and correlation dimension), interdependency measures (linear correlation coefficient, mutual information, and coherence), and measures of subjective assessment were estimated. Evolution of these measures during the whole experiment period was analyzed with respect to the significance of their linear regression. Our results confirm that repetitive training with audio-visual stimulation does induce changes in the electro-cortical activity of the brain. Long-term AVS significantly increased power in theta-1, theta-2, and alpha-1 bands in the frontal and central cortex locations. Total power increased in the right central region. Interhemispheric coherence in alpha-1 band displayed a significant increase between frontal parts in contrast to the decrease of both linear correlation and mutual information. Correlation dimension significantly decreased in some locations while entropy displayed an ascending trend.

Acoustic Stimulation↗

[The chaos theory and physiology of the heart].

Chaos theory was received with the great enthusiasm. It has provided a new, attractive approach to irregular, nonperiodic phenomena: apparently stochastic behaviour might be explained by a few nonlinear differential equations. During the last years, it became clear that chaos in the exact sense is hardly to be proved in real systems, such as the cardiac dynamics. Despite this fact, new methods, originally developed for chaotic signals, are successfully applied to fetal ECG extraction, noise filtering and heart dynamics modelling.

Electrocardiography↗