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2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)最新文献

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Development of Real-Time Methods for Calculating Cardiointervalograms for Estimating the State of the Cardiovascular System Using a Single Photoplethysmogram Signal 利用单个光容积图信号实时计算心血管间期图的方法的发展
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923264
A. V. Kurbako, V. V. Skazkina, E. Borovkova, A. Karavaev
We have developed four real-time methods for calculating a cardiointervalogram from a photoplethysmogram signal to calculate the total percentage of phase synchronization for estimating the state of the cardiovascular system. The methods were compared with the classical method of calculating a cardiointervalogram from an electrocardiogram signal using signals recorded from healthy volunteers and patients with COVID-19.
我们开发了四种实时方法,用于从光容积图信号计算心脏间期图,以计算相位同步的总百分比,以估计心血管系统的状态。将这些方法与利用健康志愿者和COVID-19患者记录的心电图信号计算心间期图的经典方法进行比较。
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引用次数: 0
Dynamics of connections between autonomic regulatory circuits of the cardiovascular system in patients with Covid-19 Covid-19患者心血管系统自主调节回路之间连接的动力学
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923146
V. Skazkina, Konstantin Popov, A. Kurbako
The work aims to study the dynamics of connections between the circuits of the autonomic regulation of blood circulation in patients with Covid-19. The tools for the study are methods of nonlinear analysis. The work shows dynamics of the degree of phase synchronization between 0.1-Hz components of the RR-interval signals and the photoplethysmogram, and no visible change in the direction of connections.
这项工作旨在研究Covid-19患者血液循环自主调节回路之间的联系动态。研究的工具是非线性分析方法。研究结果显示,0.1 hz频率区间信号与光容积图的相位同步程度呈动态变化,且连接方向无明显变化。
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引用次数: 3
Functional identification of the parameters multispecies Lotka-Volterra model 多物种Lotka-Volterra模型参数的功能辨识
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923181
A. Fradkov, A. Semenov
In this paper we set and solve the problem of functional identification of parameters of the Lotka-Volterra multispecies model using the ”Stripe” algorithm developed by V.A. Yakubovich. Assertions about some properties of the model are formulated and proved. The theoretical results are supported by modeling.
本文利用va Yakubovich提出的“Stripe”算法,建立并解决了Lotka-Volterra多物种模型参数的功能辨识问题。提出并证明了该模型的一些性质。理论结果得到了模型的支持。
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引用次数: 0
Discretization Effects in Speed-Gradient Two-rotor Vibration Setup Synchronization Control 速度梯度双转子振动设置同步控制中的离散化效应
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923278
O. Shagniev, A. Fradkov
This paper is devoted to the study of the influence of digitalization and discretization on the speed gradient algorithm operation for the multiple synchronization control of vibration setup rotors. The paper presents results of numerical simulation based on the system dynamics equations and approximate values of vibration setup parameters. The simulation results show that an increase of the discretization sampling step leads to a disruption of the multiple synchronization mode up to the stability loss.
本文研究了数字化和离散化对振动设置转子多同步控制速度梯度算法运行的影响。本文给出了基于系统动力学方程和振动设置参数近似值的数值模拟结果。仿真结果表明,增大离散化采样步长会导致多重同步模式的中断,从而造成系统的稳定性损失。
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引用次数: 1
Experimental design for studying brain activity and behavior of a child in the process of solving elementary cognitive tasks 研究儿童在解决基本认知任务过程中的大脑活动和行为的实验设计
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923229
Kseniya Mirzaeva, Artem Badarin, V. Antipov, V. Grubov, A. Hramov
Modern education in the digital reality of the 21st century has great potential to use various strategies to personalize the learning process in order to improve the teaching system. Here, important tasks is an objective assessment of the psycho-physiological state of the child in the learning process and the development of the pedagogical concept of using the data obtained to personalize the learning of elementary school students. The current study proposes the design of a neurophysiological experiment aimed at studying the cognitive and executive functions of primary school children. Tasks aimed at visual search, working memory and mental arithmetic are proposed as testing elementary cognitive functions.
在21世纪的数字现实中,现代教育具有巨大的潜力,可以利用各种策略来个性化学习过程,从而改进教学系统。在这里,重要的任务是客观评估儿童在学习过程中的心理生理状态,并利用所获得的数据发展教学理念,使小学生的学习个性化。本研究提出了一个神经生理学实验的设计,旨在研究小学生的认知和执行功能。视觉搜索、工作记忆和心算是测试基本认知功能的任务。
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引用次数: 1
The Concept of Neuromorphic Vision Systems based on Memristive Devices 基于记忆装置的神经形态视觉系统的概念
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923295
S. Shchanikov, I. Bordanov
Here we propose the concept of neuromorphic analog memristive vision systems. The main feature of this concept is the rejection of analog-to-digital and digital-to-analog conversions when capturing input visual data for a spiking neural network (SNN) based on memristive devices. This can be achieved by combining photodiodes and memristors and directly feeding analog pulses from the output of such a circuit to the input of a SNN circuit. This concept relates to the field of in-memory and in-sensor computing and will makes it possible to create more compact, energy-efficient visual processing units for wearable, on-board and embedded electronics for such areas as robotics, the Internet of Things, neuroprosthetics and other practical applications in the field of artificial intelligence.
在此,我们提出了神经形态模拟记忆视觉系统的概念。该概念的主要特点是在为基于记忆器件的峰值神经网络(SNN)捕获输入视觉数据时,拒绝模数和数模转换。这可以通过结合光电二极管和忆阻器并直接将模拟脉冲从这种电路的输出馈送到SNN电路的输入来实现。这一概念与内存和传感器计算领域有关,并将为可穿戴、机载和嵌入式电子产品创造更紧凑、更节能的视觉处理单元,用于机器人、物联网、神经假肢和人工智能领域的其他实际应用。
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引用次数: 0
Real-time Reinforcement Learning of Vibration Machine PI-controller 振动机pi控制器的实时强化学习
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923235
I. Zaitceva, B. Andrievsky
Controller tuning is a standard engineering task. To quickly adjust the controller settings in real-time, it becomes necessary to use intelligent control algorithms. In this paper, we propose an approach to tuning the speed controller of a vibration machine, which will ensure its maximum performance, using the reinforcement learning method. In this context of problem solving, the policy is presented in a parametric family of controller gains. In this case, the agent interacts with the virtual environment and the PI controller is implemented the software. The effectiveness of the proposed approach has been verified by real-time simulation and experiments on the two-rotor vibration unit. The advantage of the described learning algorithm is that the complex system is considered a black box. Thus, it is required to know the reference drive speed and measure the output speed.
控制器调优是一项标准的工程任务。为了实时快速调整控制器设置,有必要使用智能控制算法。在本文中,我们提出了一种利用强化学习方法来调整振动机速度控制器的方法,以确保其最大性能。在这个问题解决的背景下,该策略是在控制器增益的参数族中提出的。在这种情况下,代理与虚拟环境交互,PI控制器通过软件实现。通过双转子振动装置的实时仿真和实验验证了该方法的有效性。所描述的学习算法的优点是复杂系统被认为是一个黑盒子。因此,需要知道参考驱动速度并测量输出速度。
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引用次数: 0
Analysis of eye-tracking data during the Sternberg working memory task in subjects with asthenic syndrome 衰弱综合征受试者在Sternberg工作记忆任务中的眼动追踪数据分析
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923207
Oleg Piljugin, Artem Badarin, V. Antipov, V. Grubov, Belousova Yana, A. Tynterova, V. Rafalskiy, N. Shusharina, A. Hramov
In the current study, we analyzed eye-tracking data from subjects with asthenic syndrome during the performance of Sternberg Working Memory Task. To determine the severity of asthenia we used Multidimensional Fatigue Inventory. We showed that people with the asthenic syndrome are characterized by a rapid increase in subjective fatigue during the experiment. We confirmed the relationship between the subjective level of fatigue and pupil size. We believe that eye-tracking is a suitable method for objectively identifying mental fatigue during a cognitive task.
在本研究中,我们分析了衰弱综合征受试者在执行Sternberg工作记忆任务时的眼动数据。为了确定疲劳的严重程度,我们使用了多维疲劳量表。我们发现,在实验过程中,虚弱综合征患者的主观疲劳程度迅速增加。我们证实了主观疲劳程度与瞳孔大小之间的关系。我们认为眼动追踪是一种客观识别认知任务中精神疲劳的合适方法。
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引用次数: 0
Development of "City of the Futureʺ Scene to Assess the User Experience in a Virtual Reality environment 开发“未来城市”场景,评估虚拟现实环境下的用户体验
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923144
A. Tychkov, N. Bofanova, A. Alimuradov, D. Chernyshov, Ilia S. Miltykh
Virtual reality is rapidly becoming a key method in digital medicine. It is a prospective area of research. The detailed examination of users and its impact on patients is required to introduce virtual reality in medicine. A detailed examination of virtual reality users, followed by an assessment of virtual reality effects, is required for wide adaptation of this technology. The virtual reality of 12 healthy subjects was examined. For this study, we used the custom-designed VR scene “City of the Future”. An HTC Vive Pro headset was used for VR immersion. A physical examination and neurological examination were performed using the State-Trait Anxiety Inventory, Visual analog scale, and Simulator Sickness Questionnaire. All subjects were divided into two groups based on the SSQ score. Group 1, with no or slight side effects, accounted for 58.3%. Group 2 included 41.7% participants with mild to moderate simulator disorder. The strain and trait anxiety level based on the State-Trait Anxiety Inventory in Group 2 with VR-related side effects was higher than in Group 1, which had no simulator sickness. We suppose that VR experience can have positive or negative user feedback or cause simulator sickness based on psychoemotional factors such as anxiety. Dynamic monitoring and the development of an adaptive system for users in the virtual reality environment, which will monitor the dynamic individual characteristics of the person, are needed. This will improve the adaptation mechanisms and lead to a positive virtual experience.
虚拟现实正迅速成为数字医疗的关键手段。这是一个很有前景的研究领域。在医学中引入虚拟现实需要对用户及其对患者的影响进行详细的检查。对虚拟现实用户进行详细的检查,然后对虚拟现实效果进行评估,需要广泛地适应这项技术。对12名健康受试者进行虚拟现实测试。在这项研究中,我们使用了定制的VR场景“未来之城”。使用HTC Vive Pro头显进行VR沉浸。采用状态-特质焦虑量表、视觉模拟量表和模拟病问卷进行体格检查和神经学检查。所有受试者根据SSQ得分分为两组。第1组无或轻微副作用,占58.3%。第2组包括41.7%的轻至中度模拟障碍患者。基于状态-特质焦虑量表(State-Trait anxiety Inventory)的应激焦虑和特质焦虑水平,有虚拟现实相关副作用的组2高于无模拟眩晕的组1。我们假设VR体验可能会产生积极或消极的用户反馈,或者基于焦虑等心理情绪因素导致模拟器病。在虚拟现实环境中,需要动态监测和开发一种适合用户的自适应系统,以监测人的动态个体特征。这将改善适应机制,并带来积极的虚拟体验。
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引用次数: 0
Studying response to external driving in a model of thalamocortical system with specialized neuron equations 基于特殊神经元方程的丘脑皮质系统模型对外部驱动的响应研究
Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923221
A. Kapustnikov, M. Sysoeva, I. Sysoev
In this work, an ensemble of 28 connected neurooscillators for modeling epilepsy was considered. There were five types of neurons in this ensemble, with specific physiologically proved neuron models with physiologically reasonable parameters selected for each type of models. In addition, due to the presence of excitatory and inhibitory connections in the network, it was decided to use physiological synapse models for AMPA and GABA receptors, respectively. As a result, it was shown that such a system is capable of demonstrating long transients simulating epileptiform activity similarly to the previously considered models. This confirms the hypothesis of the network structure, key role in the occurrence of epileptic seizures, with validating this idea based on physiologically proved models and parameters and increasing the scientific significance of the underlying idea.
在这项工作中,考虑了一个由28个连接的神经振荡器组成的集合来模拟癫痫。在这个集合中有五种类型的神经元,每种类型的模型都有特定的生理上证明的神经元模型,并选择了生理上合理的参数。此外,由于网络中存在兴奋性和抑制性连接,我们决定分别使用AMPA和GABA受体的生理突触模型。结果表明,这样的系统能够证明长瞬态模拟癫痫样活动类似于先前考虑的模型。这证实了网络结构在癫痫发作发生中起关键作用的假设,并基于生理学证明的模型和参数验证了这一观点,并增加了潜在观点的科学意义。
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2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)
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