Maintaining an equilibrium of the human body in an upright position is crucial for the majority of motor activities. Numerous studies of physiologists, clinicians, scientific researchers show that the equilibrium function is very complex. In this work, we conducted an experiment involving equilibrium maintaining on a balance board to research different aspects of this process. The purpose of this study was to assess the dynamics of the movement of the platform movement associated with the equilibrium during the experiment and how muscle fatigue effects it. With the help of the statistical analysis we determine which muscles were affected by the fatigue more.
The main goal of this project was to identify the patterns of muscular activity of a person in the process of his interaction with the environment, as well as to identify mechanisms that make it possible to adapt behavior in response to changing external conditions. For this, we conducted a series of experiments with subjects placed in an unstable state. We carried out statistical analysis for the received signals of muscle activity. Based on the results of the analysis of behavioral characteristics, we revealed positive dynamics when subjects were reaching a state of balance and a pattern associated with training.
KEYWORDS: Electroencephalography, Wavelets, Control systems, Electrodes, Information visualization, Visualization, Astatine, Signal analyzers, Bandpass filters, Linear filtering
We have recorded multichannel EEG signals from subjects maintaining the body balance on the balance board. Having synchronized the board oscillations and the recordings we have revealed and described specific features of the cortical activity that relate to balance maintaining and reaching an equilibrium state. We have found that the increase of the equilibrium state duration is accompanied by the change of the EEG spectral amplitude in the β frequency band.
In this work, we analyzed the signals of heart rate variability and leg’s photoplethysmograms of newborns. A series o f experiments included 10 conditionally healthy subjects; each recording was carried out for 15 minutes during feeding. We used methods of spectral analysis and methods of nonlinear dynamics. This work shows some features of the autonomic nervous regulation of the cardiovascular system in newborns, an assessment of the degree of synchronization and the coupling of the loops for regulating heart rate variability and vascular tone using methods for calculating crossspectrum, the coherence coefficient and the total percentage of phase synchronization.
KEYWORDS: Mathematical modeling, Cardiovascular system, Biological research, Heart, Signal detection, Data modeling, Control systems, Bandpass filters, Distance measurement, Process modeling
Study aims to adopt the cross-recurrence analysis for detection of coupling between the loops of sympathetic regulation of cardiovascular system. To test the applicability of the method and to set its parameters it was applied to the mathematical model of cardiovascular system that has a structure similar to the structure of the real system. To investigate whether the cross-recurrence analysis reflects the dynamics of autonomic control the authors conducted four numerical experiments with gradually decreasing activity of sympathetic regulation. No correlation was found between the results of cross-recurrence analysis and the coupling strengths.
KEYWORDS: Electromyography, Signal detection, Motion analysis, Signal analyzers, Electronic filtering, Signal processing, Electroencephalography, Brain, Linear filtering, Neuroscience
In this paper we have developed a technique allowing automatic detection of the precursor of movement beginning based on the analysis of electromyographic signals. Methods for determining the beginning of movement and the moments of movement planning are of urgent need in neuroscience, and a separate problem is the use of muscle electrical activity signals (electromyograms) to accurately determine the beginning of hand movement due to the complexity, short duration and noise of the original signals. We have found out that in the case when the movement starts on a certain sound signal, the moment of the movement beginning is detected with a some time delay.
KEYWORDS: Heart, Circulatory system, Cardiovascular system, Medicine, Electrocardiography, Signal analyzers, Signal processing, Systems modeling, Cardiovascular surgery
The paper is devoted to the analysis of dynamic of interactions between signals of autonomic circulatory regulation. We investigated two-hour experimental records of 30 healthy people. Phase synchronization was studied using the signals of the electrocardiogram and the photoplethysmogram of vessels. We found the presence of long synchronous intervals in some subjects. For analysis of the dynamic we calculated autocorrelation functions. The analysis made it possible to reveal indirect signs of the influence of the humoral regulation system.
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