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Upper limb exoskeleton for neurorehabilitation with control via brain-computer interface 6

Upper limb exoskeleton for neurorehabilitation with control ...

引用

6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

作者： Antipov, Vladimir Innopolis University Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Russia

ISBN: (数字)9781665461740

ISBN: (纸本)9781665461740

This paper describes the results of developing control methods for an active exoskeleton for rehabilitation of human upper limb motor activity. The experimental setup, real-time software implementation of the control system, and also the developed software environment for stimulation of the subject during the neurophysiological experiment are described. The research object of the above system is the processes of activation of brain areas in terms of analysis of bioelectrical electroencephalographic signals registered during a motor activity, suitable for use in the tasks of motor rehabilitation. The purpose of this work is to develop a hardware-software part of the experiment to study real-time algorithms for control of the upper limb exoskeleton for rehabilitation and education tasks using 'brain-computer' interfaces. © 2022 IEEE.

关键词： Brain computer interface

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Effect of the fatigue in the equilibrium training

Effect of the fatigue in the equilibrium training

引用

Saratov Fall Meeting 2021: Computational Biophysics and Nanobiophotonics

作者： Khorev, Vladimir S. Neuroscience and Cognitive Technology Lab. Center for Technologies in Robotics and Mechatronics Components Innopolis University 1 Universitetskaya Str. Innopolis 420500 Russia

ISBN: (数字)9781510653702

ISBN: (纸本)9781510653696

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. © 2022 SPIE.

关键词： Signal analysis

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How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data 6

How Long short-term memory artificial neural network, synthe...

引用

6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

作者： Nasybullin, Albert Maksimenko, Vladimir Kurkin, Semen Innopolis University Laboratory of Data Analysis and Bioinformatics Center for Artificial Intelligence Innopolis Russia Innopolis University Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Russia

ISBN: (数字)9781665461740

ISBN: (纸本)9781665461740

In this paper, we discuss a Machine Learning pipeline for the classification of EEG data. We propose a combination of synthetic data generation, long short-term memory artificial neural network (LSTM), and fine-tuning to solve classification problems for experiments with implicit visual stimuli, such as the Necker cube with different levels of ambiguity. The developed approach increased the quality of the classification model of raw EEG data. © 2022 IEEE.

关键词： Classification (of information)

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Reservoir computing allows recovering hidden network dynamics 7

Reservoir computing allows recovering hidden network dynamic...

引用

7th Scientific School: Dynamics of Complex Networks and their Applications, DCNA 2023

作者： Badarin, Artem Andreev, Andrey Innopolis University Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Russia Saint Petersburg State University St. Petersburg Russia Baltic Federal University Baltic Center for Neurotechnology and Artificial Intelligence Immanuel Kant Kaliningrad Russia

ISBN: (纸本)9798350305746

In this study, we examined reservoir computing (RC)as a tool for predicting the macroscopic dynamics of a subset of oscillators in a network based on the macroscopic dynamics of other parts of it. As a model network, we utilized a network of 300 Kuramoto oscillators with adaptation. Our results demonstrate that reservoir computing effectively addresses this task. Additionally, a similar reservoir computing model was applied to experimental neurovisualization data and exhibited high accuracy in reconstructing damaged EEG channels compared to classical methods like spatial interpolation. © 2023 IEEE.

关键词： Dynamics

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Eye movement features in solving Sternberg Memory Task 6

Eye movement features in solving Sternberg Memory Task

引用

6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

作者： Brusinskii, Nikita Badarin, Artem Hramov, Alexander Immanuil Kant Baltic Federal University Baltic Center for Neurotechnologies and Artificial Intelligence Kaliningrad Russia Innopolis University Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Russia

ISBN: (数字)9781665461740

ISBN: (纸本)9781665461740

Oculomotor activity is an important component of human mental processes, and decoding this activity can be applied in many applied fields. This paper analyzed the physiological and behavioral characteristics of a person during a prolonged solution of a cognitive task based on the Sternberg paradigm. A number of trends in changes in both physiological and behavioral characteristics over the course of the experiment were revealed. For example, an increase in subjective fatigue over the course of the experiment. In addition, correlation analysis were performed. In particular, a correlation was found between subjective fatigue and the amplitude of pupil dilation during letter set demonstrations. © 2022 IEEE.

关键词： Eye movements

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Macroscopic dynamics prediction by reservoir computing 6

Macroscopic dynamics prediction by reservoir computing

引用

6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

作者： Andreev, Andrey Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Baltic Center for Neurotechnology and Artificial Intelligence Immanuel Kant Baltic Federal University Kaliningrad Russia

ISBN: (数字)9781665461740

ISBN: (纸本)9781665461740

Nowadays, the problem of forecasting complex signals is significant and has many applications in real life. One of such applications is the prediction of neurophysiological signals, like EEG. Such signals are macroscopic signals of a group of neurons, and the connections between them adapt in time. Here, we investigate the possibility of forecasting the dynamics of the modulated adaptive network, which topology changes in time, using Reservoir Computing (RC). We show that the dynamics of the signal is chaotic, and RC cannot predict it, but reconstruction of the phase space by adding the delays improves the quality of the signal's prediction. © 2022 IEEE.

关键词： Complex networks

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引用

Saratov Fall Meeting 2020 - Computations and Data Analysis: From Molecular Processes to Brain Functions

作者： Frolov, Nikita Pitsik, Elena Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis420500 Russia

ISBN: (数字)9781510645332

ISBN: (纸本)9781510645325

Healthy aging affects structural and neurochemical properties of the human brain neural network. It also changes the brain functioning via the transformation of neural interactions both within and between functionally distinct brain areas. The age-related degradation of the brain functioning is evident on the behavioral level in terms of the decline in reaction time, low ability to execute and control complex motor actions, weak flexibility in learning new skills. In this paper we apply functional connectivity analysis to reveal the age-related changes in the integrative brain dynamic during the motor initiation before the dominant hand movements accompanied. Analyzing the whole-scalp electroencephalography (EEG) signals on the sensor level, we find higher theta-band coupling in the ipsilateral hemisphere. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Electroencephalography

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Wireless personal training tracker for sports shooting 5

Wireless personal training tracker for sports shooting

引用

5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021

作者： Antipov, Vladimir Badarin, Artem Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Lobachevsky University Nizhny Novgorod Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia

ISBN: (纸本)9781665442824

The article describes the process of developing a wireless software arrapat complex for measuring and logging various aspects of sports shooting training. The purpose of the development is to optimize and personalize the training process. This paper proposes an approach that allows synchronization up to 1 ms over a wireless network. As well as a method of writing a large amount of this on a microSD flash drive with minimal latency. © 2021 IEEE

关键词： Sports

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Customizable and Flexible Pressure Sensor Matrix 5

Customizable and Flexible Pressure Sensor Matrix

引用

5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021

作者： Antipov, Vladimir Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Lobachevsky University Nizhny Novgorod Russia

ISBN: (纸本)9781665442824

The paper presents a method of creating and manufacturing customizable, deformable pressure sensor matrix. The purpose of the development is creating and implementing a variety of matrix sensors with integrated electronics and software to determine the distributed pressure on different types of surfaces, as well as further use of this sensor in medical, robotics and sports. Experimental studies of the individual components and the overall sensor error were conducted. As a result of the work, the developed experimental sample was investigated, a flexible metallized base for the new sensor was developed, and also the board of onboard electronics for processing of the sensor matrix was designed and manufactured. © 2021 IEEE

关键词： Pressure sensors

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Synchronization in interacting networks of Hodgkin-Huxley neurons

Synchronization in interacting networks of Hodgkin-Huxley ne...

引用

Saratov Fall Meeting 2021: Computational Biophysics and Nanobiophotonics

作者： Andreev, Andrey V. Maksimenko, Vladimir A. Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Universitetskaya Str. 1 Innopolis 420500 Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University A. Nevskogo ul. 14 Kaliningrad236016 Russia

ISBN: (数字)9781510653702

ISBN: (纸本)9781510653696

We consider a network of networks consisting of small input neural network and four small-world subnetworks Hodgkin-Huxley neurons. Input network receives an external signal and transfers it to subnetworks via excita-tory couplings while the subnets interact with each other via inhibitory couplings. We show that the subnets are divided into 2 clusters under the influence of an inhibitory couplings between them. The synchronization indexes of subnetworks periodically change in time. We found that SIs can oscillate either in-phase or anti-phase depending on the couplings between subnetworks. © 2022 SPIE.

关键词： Complex networks

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