A5058249036- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neural Networks and Applications
- Engineering Technology and Methodologies
- Visual perception and processing mechanisms
- Blind Source Separation Techniques
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry
- Electric Power Systems and Control
- Technology and Human Factors in Education and Health
- Sensor Technology and Measurement Systems
- Functional Brain Connectivity Studies
- Aerospace, Electronics, Mathematical Modeling
- Time Series Analysis and Forecasting
- Inertial Sensor and Navigation
- Mineral Processing and Grinding
- Industrial Technology and Control Systems
- Distributed and Parallel Computing Systems
- Real-time simulation and control systems
- Advanced Scientific Research Methods
- Action Observation and Synchronization
- Geophysics and Sensor Technology
- Industrial Automation and Control Systems
- Advanced Frequency and Time Standards
- Engineering Diagnostics and Reliability
- Geophysics and Gravity Measurements
Russian State Agrarian University - Moscow Timiryazev Agricultural Academy
2024
Yuri Gagarin State Technical University of Saratov
2014-2023
Academician Pilyugin Center
2023
In order to classify different human brain states related visual perception of ambiguous images, we use an artificial neural network (ANN) analyze multichannel EEG. The classifier built on the basis a multilayer perceptron achieves up 95% accuracy in classifying EEG patterns corresponding two interpretations Necker cube. important feature our is that trained one subject it can be used for classification traces other subjects. This result suggests existence common features structure...
We study the synchronization of infra-slow oscillations in human scalp electroencephalogram signal with respiratory signal. For cases paced respiration a fixed frequency and linearly increasing frequency, we reveal phase locking brain potentials by respiration. It is shown that for different areas, can exhibit synchronous regimes orders.
In the paper we study problem of recognition type observed object, depending on generated pattern and registered EEG data. recorded at time displaying cube Necker characterizes appropriate state brain activity. As an image use bistable cube. Subject selects interpret it either as aleft or right To solve recognition, artificial neural networks. our to create a classifier have considered multilayer perceptron. We examine structure network define cubes accuracy.
An approach for the recognition of various cognitive processes in brain activity perception ambiguous images. On basis developed theoretical background and experimental data, we propose a new classification oscillating patterns human EEG by using an artificial neural network approach. After learning reliably identified cube processes, example, left-handed or right-oriented Necker with different intensity their edges, construct based on Perceptron architecture demonstrate its effectiveness...
This paper presents an analysis of soil quality using statistical methods. The study includes correlation to identify key relationships between various and environmental parameters, regression quantify the influence these factors. findings demonstrate how factors such as geographical climatic conditions affect parameters. highlight effectiveness integrating methods for more accurate reliable related data. These results can be useful developing land management strategies improving...
This paper comprehensively analyzes the impact of water availability on agricultural sector, focusing several key aspects. The study evaluated soil composition and its relationship to crop yields productivity, as well efficiency different irrigation methods. Special attention was paid seasonal changes in production their dependence resources. analysis also covered economic indicators, including prices costs. used methods data mining allowed depth sphere. Correlation revealed that has a...
Design of a precision test bench with inertial sensing elements and aerostatic suspension along the rotation axis digital control system, which incorporates two angular rate sensors accelerometers measuring tangential centripetal accelerations their attachment points to platform, different bandwidths compensate vibrations excited by suspension, is considered.
In this paper, we investigate the problem of identification patterns on magnetoencephalography signals a brain associated with human movements. The design registration experimental data during (MEG) is developed and described. Consecutive imaginary movements hands legs person are chosen as basic We solve recognition classification using artificial neural networks. For multilayer perceptron, good results activity different types motion have been obtained.
This article describes a method to control the educational process using software and hardware appliance - humanoid robot help teachers. The baseline data analyze student's condition are represented by electroencephalographic signals recorded online. Analysis of included several stages, such as removal artifacts caused by, for instance, oculomotor activity; distinction between brain activity patterns; preprocessing distinguished analysis determine level attention concentration,...
We have considered time-frequency and spatio-temporal structure of electrical brain activity, associated with real imaginary movements based on the multichannel EEG recordings. found that along wellknown effects event-related desynchronization (ERD) in α/μ – rhythms β rhythm, these types activity are accompanied by either ERS (for movement) or ERD low-frequency δ band, located mostly frontal lobe. This may be caused processes decision making, which take place when subject is deciding perform...
The report considers a design concept for precision test benches verification of gyroscopic devices with digital control systems and inertial sensing elements as modern mechatronic – i.e. primary standards, the solutions which include derived special cases secondary standards systems, both previously proposed by authors novel designs, can be realized using principles.