Diffusion: Emotional Visualization Based on Biofeedback Control by EEG

Diffusion is an area of research exploring the interactive relationship between human consciousness and computational practice by analyzing human brain data from electroencephalogram (EEG)-based brain-computer interfaces and interactive devices that can generate music and synchronized visual images by biofeedback. Although interactive experience is not a new topic in computational art, it has provoked thought due to the significant influence of technology on human ideology, emotions, morality, ethics, etc. Diffusion is the result of attempts to establish a connection between human physiological information and digital technology. As well as experimental research, it based on the ethical level of artificial intelligence (AI). Diffusion uses music visualization to transform intangible brain activity (thoughts or emotions) into perceivable things (sounds or objects). The research emphasizes human consciousness in AI and points out the blurred boundaries between AI and human creativity. Therefore, the installation evaluates human motivation, which can present as abstract structures—like creativity, emotion, and insight—which enhance the interactive experience of participants and deconstructs the inherent meaning of the material and spiritual, reality and virtual reality or humans and machines. By reviewing and contextualizing EEG and digital music development research, we finally outline a future research area that will involve deep collaboration across interdisciplinary and multiple technologies to realize emotion recognition.

Biofeedback: e-health prediction based on evolving fuzzy neural network and wearable technologies

Recent advances in wearable microelectronics and new neural networks paradigms, capable to evolve and learn online such as the Evolving Fuzzy Neural Network (EFuNN), enable the deploy of biofeedback-based applications. The missed physiologic response could be recovered by measuring uninvasively the vital signs such as the heart rate, the bio impedance, the body temperature, the motion activity, the blood pressure, the blood oxygenation and the respiration rate. Then, the prediction could be performed applying the evolving ANN paradigms. The simulation of a wearable biofeedback system has been executed applying the Evolving Fuzzy Neural Network (EFuNN) paradigm for prediction. An highly integrated wearable microelectronic device for uninvasively vital signs measurement has been deployed. Simulation results demonstrate that biofeedback control model could be an effective reference design that enables short and long-term e-health prediction. The biofeedback framework was been then defined.

HEART RATE VARIABILITY IN HIGHLY SKILLED ORIENTEERING ATHLETES WHEN SOLVING COMPLEX MOTOR TASKS

Currently, the problem of improving the quality of the training process in both professional and novice athletes is a priority for experts in the medical and biological support of sports all over the world. For these purposes, various biofeedback procedures, including the method of solving specialized motor-cognitive tasks on the stabilometric platform [1], have been actively used in recent years as extra-training means to improve sports performance. At the same time, we should note that one of the most informative biological signals that allow to judge about the change in the functional state of the body of the tested athletes in the process of sports training is the dynamics of heart rate variability (HRV) [2]. HRV analysis is widely used as a non-invasive and reliable tool for assessment of vegetative control of human cardiovascular system [3]. Numerous literature sources confirm the prospect of using this method for the purposes of sports physiology [4] However, changes in HRV in highly qualified athletes when solving complex motor and cognitive tasks, as of today, still remain unstudied. The aim of the present study was to assess changes in heart rate variability in highly qualified orienteering athletes when solving complex coordination tasks on biocontrol of a virtual object using a stabilometric platform ST-150. Seven days training with biofeedback control on the stabilometric platform resulted in a significant increase of such HRV temporal indices as SDNN – by 8,9 % (p<0,01), RMSSD – by 42,3 % (p<0,05), pNN50 – by 77, 1 % (p<0.05), CV – by 25.3 % (p<0.01), as well as heart rate reduction by 10.5 % (p<0.05), which indicates an increase in functional capabilities of the athletes’ bodies, strengthening vagus effects on cardiac rhythm. The results of geometrical analysis have shown that biofeedback according to reference reaction leads to reliable increase of values of index of mode of cardiointervals by 9,7 % and increase of variation range of histogram of cardiointervals by 21,4 % as well as decrease of values of mode amplitude by 19,2 % and tension index of regulatory systems of the body by 29,6 % (p<0,05), which testifies to improvement of adaptation possibilities of the body of tested sportsmen under the influence of this type of biocontrol. Analysis of spectral components of heart rhythm in orientation athletes after 7-day training with biofeedback control has shown significant increase in TP by 36 %, LF – by 37,7 %, HF – by 88,2 % as well as decrease in LF/HF by 28,2 % (p<0,05), which testify to increase in general variability of heart rhythm, activation of parasympathetic regulation circuit, increase in functional capabilities and reserves of tested athletes organism.

PHYSIOLOGICAL BASICS OF CARDIORESPIRATORY BIOFEEDBACK CONTROL OF OSCILLATORY POSTURAL LOAD

The technology of functional normalization of the cardiovascular system parameters by means of the alternating biofeedback on cardiac rhythm (cardiorespiratory training) with the use of a turning bed (verticalizer) is described, which allows to implement the oscillatory postural effects of ortho- and antiorthostatic nature automatically. Aim of the study. Increasing of application area of cardiorespiratory training due to the variety of options for biofeedback signals. Methods. The oscillation of the turning bed controlled by means of the parameters of heart rate variability sets for the examinee the order of alternation of the inspiration and expiration phases and the phases of the inspiration/expiration beginning. The method is available to patients with low vision, bedridden patients, early ages children; patients who are not able to understand the essence of the procedure. Results of researches. Positive dynamics of the test subjects’ functional state is, in particular, the normalization of activity of components of the autonomic nervous system; the reinstatement of the natural breathing pattern lost due to various reasons; increasing the variability of the heart rate; the cardiovascular system training due to moderate alternating ortho- and antiorthostatic load, estimated by number of physiological parameters.