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EN
An extremely simple method for stabilizing unstable steady states in an array of coupled neuronal FitzHugh-Nagumo type oscillators is described. A two-terminal electronic feedback controller has been developed. The feedback circuit, when coupled to an array of oscillators, damps the spiking neurons, thus does away with the effect of synchronization. Both, numerical simulations and hardware experiments with the electronic circuits have been performed. The results for an array of three mean-field coupled FitzHugh-Nagumo oscillators are presented.
EN
The paper summarises the results of experiments carried out to investigate the effect of a narrow-band noise in the range 4-8 Hz and of the acoustic pressure SPL = 110 dB(HP) on the alpha waves in the EEG signal. The test group included 23 males aged 21-33. It is found out that white noise in the infrasound range 4-8Hz leads to changes of amplitudes of the spectral power density of alpha waves. The tests reveal a statistically significant reduction of the alpha wave amplitude during the infrasound exposure and an amplitude increase when the exposure is over.
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vol. 125
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issue 4A
A-20-A-23
EN
The purpose of this paper is to determine the effect of infrasound noise from wind turbines (up to 20 Hz) on the changes in the EEG signal patterns in humans. The experimental study was undertaken to investigate the effect of a 20 minutes long infrasound exposure on humans. The acoustic signal was recorded at a distance of 750 meters from the wind turbine and the frequency components above 20 Hz were then filtered out. Research work undertaken so far to investigate the impacts of wind turbine noise on humans would mostly rely on questionnaire tools and subjective assessment given by respondents. This study focuses on the effects of infrasound noise from wind turbines on variations of EEG signal patterns in an attempt to develop a more objective measure of the infrasound noise impacts. The experimenal study was conducted in a pressure cabin where the EEG procedure was performed. Analysis of the EEG signals reveals the changes between the EEG patterns registered during the three successive stages of the study.The results indicate some changes in EEG signal patterns registered under exposure to wind turbine noise. Moreover, the specific frequency ranges of the EEG signals are found to be altered.
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