检索结果-南通市图书馆

Comparison of brain functions between healthy participants and methamphetamine users with various addiction histories:Data analysis based on EEG and fNIRS

引用

Journal of Innovative Optical Health Sciences 2024年第3期17卷 41-55页

作者： Xuelin Gu Xiaoou Li banghua yang College of Medical Instruments Shanghai University of Medicine&Health SciencesShanghai 201318P.R.China School of Mechanical and Electrical Engineering and Automation Shanghai UniversityShanghai 200444P.R.China

The electroencephalogram(EEG)rhythm and functional near-infrared spectroscopy(fNIRS)activation levels have not been compared between a healthy control group(HCG)and methamphetamine user group(MUG)with different addiction histories.This study used 64-electrode EEG and fNIRS to conduct an experiment that analyzed the resting and craving states.The EEG and fNIRS data of 56 participants were collected,including 14 healthy participants,14 methamphetamine users with an addiction history of 0.5–5 years,14 users with an addiction history of 5–10 years,and 14 users with an addiction history of 10–15 years.Isolated effective coherence(iCoh)within the brain network was used to process the EEG data.Statistical analysis was performed to compare differences in iCoh among the delta,theta,alpha,beta,and gamma bands and explore oxyhemoglobin activation levels in the ventrolateral prefrontal cortex,dorsolateral prefrontal cortex,orbitofrontal cortex,and frontopolar prefrontal cortex(FPC)of the control group.Finally,the Kmeans,Gaussian mixed model(GMM),linear discriminant analysis(LDA),support vector machine(SVM),Bayes,and convolutional neural networks(CNN)algorithms were used to classify methamphetamine users based on drug and neutral images.A 3-class accuracy was achieved.Changes in EEG and fNIRS activation levels of HCG and MUG with varied addiction histories were demonstrated.

关键词： Drug addiction history electroencephalogram functional near-infrared spectroscopy isolated effective coherence addiction history classification

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Multi-Timescale Distributed Approach to Generalized-Nash-Equilibrium Seeking in Noncooperative Nonconvex Games

引用

IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 791-793页

作者： banghua Huang yang Liu Kit Ian Kou Weihua Gui the School of Mathematical Sciences Zhejiang Normal UniversityJinhua 321004China IEEE the Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Jinhua 321004China the Faculty of Science and Technology University of MacaoMacaoChina the School of Automation Central South UniversityChangsha 410083China

Dear Editor,The distributed generalized-Nash-equilibrium(GNE)seeking in noncooperative games with nonconvexity is the topic of this letter.Inspired by the sequential quadratic programming(SQP)method,a multi-timescale multi-agent system(MAS)is developed,and its convergence to a critical point of the game is proven.To illustrate the qualities and efficacy of the theoretical findings,a numerical example is elaborated.

关键词： letter seeking programming

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Different types of drug abusers prefrontal cortex activation patterns and based on machine-learning classification

引用

Journal of Innovative Optical Health Sciences 2022年第2期15卷 83-92页

作者： banghua yang Xuelin Gu Shouwei Gao Lin Feng Yan Ding Xu Wen Wang School of Mechanical and Electrical Engineering and Automation Shanghai University Shanghai 200444P.R.China Shanghai Drug Rehabilitation Administration Bureau Shanghai 200080 P.R.China Department of Radiology&Functional and Molecular Imaging Key Lab of Shaanxi Province Tangdu Hospital Fourth Military Medical University Xi'anShaanxi 710038P.R.China Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation Ministry of Education ShanghaiP.R.China Shanghai Intelligent Engineering Technology Research Center for Addiction and Rehabilitation Minhang District 200240 ShanghaiP.R.China

Drug addiction can cause abnormal brain activation changes,which are the root cause of drug craving and brain function errors.This study enrolled drug abusers to determine the effects of different drugs on brain activation.A functional near-infrared spectroscopy(fNIRS)device was used for the research.This study was designed with an experimental paradigm that included the induction of resting and drug addiction cravings.We collected the fNIRS data of 30 drug users,including 10 who used heroin,10 who used Methamphetamine,and 10 who used mixed drugs.First,using Statistical Analysis,the study analyzed the activations of eight functional areas of the left and right hemispheres of the prefrontal cortex of drug addicts who respectively used heroin,Methamphetamine,and mixed drugs,including Left/Right-Dorsolateral prefrontal cortex(L/R-DLPFC),Left/Right-Ventrolateral prefrontal cortex(L/R-VLPFC),Left/Right-Fronto-polar prefrontal cortex(L/R-FPC),and Left/Right Orbitofrontal Cortex(L/R-OFC).Second,referencing the degrees of activation of oxyhaemoglobin concentration(HbO2),the study made an analysis and got the specific activation patterns of each group of the addicts.Finally,after taking out data which are related to the addicts who recorded high degrees of activation among the three groups of addicts,and which had the same channel numbers,the paper classified the different drug abusers using the data as the input data for Convolutional Neural Networks(CNNs).The average three-class accuracy is 67.13%.It is of great significance for the analysis of brain function errors and personalized rehabilitation.

关键词： Drug addiction fNIRS machine-learning di®erent drug users brain regions activation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

BCI+VR Rehabilitation Design of Closed-Loop Motor Imagery Based on the Degree of Drug Addiction

引用

China Communications 2022年第2期19卷 62-72页

作者： Xuelin Gu banghua yang Shouwei Gao Honghao Gao Linfeng Yan Ding Xu Wen Wang School of Mechanical and Electrical Engineering and Automation Shanghai UniversityShanghai 200444China School of Computer Engineering and Science Shanghai UniversityShanghai 200444China Department of Radiology&Functional and Molecular Imaging Key Lab of Shaanxi Province Tangdu HospitalFourth Military Medical UniversityXi’anShaanxi 710038China Shanghai Drug Rehabilitation Administration Bureau Shanghai 200080China

After abusing drugs for long,drug users will experience deteriorated self-control cognitive ability,and poor emotional regulation.This paper designs a closed-loop virtual-reality(VR),motorimagery(MI)rehabilitation training system based on brain-computer interface(BCI)(MI-BCI+VR),aiming to enhance the self-control,cognition,and emotional regulation of drug addicts via personalized rehabilitation schemes.This paper is composed of two parts.In the first part,data of 45 drug addicts(mild:15;moderate:15;and severe:15)is tested with electroencephalogram(EEG)and near-infrared spectroscopy(NIRS)equipment(EEG-NIRS)under the dual-mode,synchronous signal collection paradigm.Using these data sets,a dual-modal signal convolutional neural network(CNN)algorithm is then designed based on decision fusion to detect and classify the addiction degree.In the second part,the MIBCI+VR rehabilitation system is designed,optimizing the Filter Bank Common Spatial Pattern(FBCSP)algorithm used in MI,and realizing MI-EEG intention recognition.Eight VR rehabilitation scenes are devised,achieving the communication between MI-BCI and VR scene models.Ten subjects are selected to test the rehabilitation system offline and online,and the test accuracy verifies the feasibility of the system.In future,it is suggested to develop personalized rehabilitation programs and treatment cycles based on the addiction degree.

关键词： drug addiction degree brain-computer interface,motor imagery virtual reality drug addiction rehabilitation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A new 2-class unilateral upper limb motor imagery tasks for stroke rehabilitation training

引用

Medicine in Novel Technology and Devices 2022年第1期13卷 65-70页

作者： banghua yang Jun Ma Wenzheng Qiu Yan Zhu Xia Meng School of Mechatronic Engineering and Automation School of MedicineResearch Center of Brain Computer EngineeringShanghai UniversityShanghai200444China Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation Ministry of EducationShanghai201203China Shanghai Intelligent Engineering Technology Research Center for Addiction and rehabilitation Shanghai201901China The Second Rehabilitation Hospital of Shanghai Shanghai200441China China National Clinical Research Center for Neurological Diseases Beijing100070China

The rehabilitation training based on motor imagery brain-computer interface(MI-BCI)is considered to be an effective method.We designed a new 2-class unilateral upper limb motor imagery tasks.Data from 15 healthy subjects and 10 stoke patients are collected in the study.The results of event-related desynchronization/synchronization(ERD/ERS)and power spectral density(PSD)analysis showed the significant different features on health subjects and stroke patients.The improved 2-Conv-FBCNET is used to classify Electroencephalogram(EEG)signals and the accuracy is(health:61.0%,stroke:59.4%).The new two types of tasks provide a new training method for MI-BCI rehabilitation training system.

关键词： Stroke rehabilitation training Unilateral upper limb Motor imagery-brain computer interface(MIBCI)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

基于Transformer的三维人体姿态估计及其动作达成度评估

引用

仪器仪表学报 2024年第4期45卷 136-144页

作者：杨傲雷周应宏杨帮华徐昱琳上海大学机电工程与自动化学院上海200444 上海市电站自动化技术重点实验室上海200444

针对人机交互、医疗康复等领域存在的人体姿态分析与评估问题,本文提出了一种基于Transformer的三维人体姿态估计及其动作达成度评估方法。首先,本文定义了人体姿态的关键点及关节角,并在深度位姿估计网络(DPEN)的基础上,提出并构建了... 详细信息

针对人机交互、医疗康复等领域存在的人体姿态分析与评估问题,本文提出了一种基于Transformer的三维人体姿态估计及其动作达成度评估方法。首先,本文定义了人体姿态的关键点及关节角,并在深度位姿估计网络(DPEN)的基础上,提出并构建了一个基于Transformer的三维人体姿态估计模型(TPEM),Transformer的引入能够更好的提取人体姿态的长时序特征;其次,利用TPEM模型对三维人体姿态估计结果,设计了基于加权3D关节角的动态时间规整算法,在时序上对不同人物同一动作的姿态进行姿态关键帧的规整匹配,并据此提出了动作达成度评估方法,用于给出动作的达成度分数;最后,通过在不同数据集上进行实验验证,TPEM在Human3.6 M数据集上实现了平均关节点误差为37.3 mm,而基于加权3D关节角的动态时间规整算法在Fit3D数据集上的平均误差帧数为5.08,展现了本文所提方法在三维人体姿态估计与动作达成度评估方面的可行性和有效性。

关键词：三维人体姿态估计深度学习动态时间规整动作评估

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

“泰山震”的震中在郯庐断裂带安丘地区的证据

引用

古地理学报 2024年第3期26卷 714-724页

作者：张邦花田洪水杨传成张慎河山东建筑大学测绘地理信息学院山东济南250101 山东建筑大学土木工程学院山东济南250101 山东省地震研究中心山东济南250014

“泰山震”发生于公元前1831年,是中国史料记载的最早的历史地震。据《竹书纪年》记载:夏帝发七年(公元前1831年),当名为“发”的皇帝正在登泰山时,发生了一次强地震。因这次地震使皇帝受到了惊吓,因此,被名之为“泰山震”而首次记载下... 详细信息

“泰山震”发生于公元前1831年,是中国史料记载的最早的历史地震。据《竹书纪年》记载:夏帝发七年(公元前1831年),当名为“发”的皇帝正在登泰山时,发生了一次强地震。因这次地震使皇帝受到了惊吓,因此,被名之为“泰山震”而首次记载下来。显然,名为“发”的皇帝受地震恐吓的地理位置是泰山坡麓。由于在泰山及其附近,地震地质学家一直未找到“泰山震”的地震地质记录。因此,“泰山震”的震中和震级一直是个谜。重新观察已发现的地震地质遗迹,结合一系列的测试、实验与剖析,本研究为“泰山震”是震中处在郯庐断裂带内安丘地区的强烈的历史地震提供了证据。首先,在距泰山以东约200 km远的郯庐断裂带安丘—夏庄盆地内的全新世湖沼相软土层中,存有震陷向斜与同震微断层等宏观的地震事件遗迹,它们记录的震中烈度Ⅸ度、震级达M7.0;二是借助于^(14)C同位素年龄测定结果,结合计算相关土层的沉积时间,而获得了极为接近公元前1831年的发震时间(公元前1827年);三是依据华北地震烈度衰减模型,计算出该地震在泰山的衰减烈度为Ⅵ度。中国地震烈度表显示,Ⅵ度烈度完全使人站立不稳或惊逃户外,这符合当年登山皇帝受地震惊恐的史料记录。

关键词：泰山震震中安丘震陷向斜郯庐断裂带证据

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

隐喻式否定构式的语义生成机制研究

引用

外国语文 2024年第1期40卷 21-32页

作者：魏在江赵帮华广东外语外贸大学外国语言学与应用语言学研究中心广东广州510420 广东外语外贸大学英文学院广东广州510420

借助对立统一思维,基于概念隐喻和动态范畴论,本文提出了“概念隐喻—动态范畴模型”(CMDCM),并将之作为隐喻式否定构式的语义生成机制。研究发现:在前槽和后槽之间存在一个上位范畴,其抽象图式义是前后槽共现于该构式的依据,也是二者... 详细信息

借助对立统一思维,基于概念隐喻和动态范畴论,本文提出了“概念隐喻—动态范畴模型”(CMDCM),并将之作为隐喻式否定构式的语义生成机制。研究发现:在前槽和后槽之间存在一个上位范畴,其抽象图式义是前后槽共现于该构式的依据,也是二者对比语义数量的标准;对立统一思维使前后槽临时形成反义关系,亦体现出一定语义数量,说话人通过确定并标注该语义数量,在前后槽之间建立语义梯级;整个构式包含两次隐喻过程,概念投射经由前槽发出,继而被具有优先投射权的后槽阻滞,故新喻具有遮蔽旧喻的功能。

关键词：投射遮蔽否定动态范畴化阻滞

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Fixed-time distributed robust optimization for economic dispatch with event-triggered intermittent control

引用

Science China(Technological Sciences) 2023年第5期66卷 1385-1396页

作者： HUANG banghua LIU yang GLIELMO Luigi GUI WeiHua Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Zhejiang Normal UniversityJinhua321004China School of Mathematical Sciences Zhejiang Normal UniversityJinhua321004China Department of Electrical Engineering and Information Technologies University of Naples FedericoⅡNapoli80125Italy School of Automation Central South UniversityChangsha410083China

This paper proposes a fixed-time distributed robust optimization approach for solving economic dispatch problems.Based on an integral sliding mode control scheme,the proposed multi-agent system converges to an optimal solution to an economic dispatch problem before a fixed time.In addition,the proposed multi-agent system can suppress the disturbance in a fixed time.To reduce the cost of sliding mode controls,we propose a distributed event-triggered intermittent control which reduces the sliding mode control time by setting a control triggering rule on the basis of two boundary functions of a Lyapunov function.The simulation results of three power systems illustrate the characteristics and effectiveness of the theoretical results.

关键词： distributed optimization economic dispatch problem fixed-time robust optimization event-triggered intermittent control

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

叶芝晚期诗歌中难以和解的二律背反

引用

佛山科学技术学院学报（社会科学版） 2024年第4期42卷 62-68页

作者：邓帮华四川外国语大学英语学院重庆400030

叶芝作为20世纪最伟大的诗人之一,其人其诗一直是众多研究者的探究热点,尤其是他晚期诗歌中的二律背反或悖论问题,大多数研究者认为其诗达成了在矛盾中的统一;有的虽得出相反结论,但研究不够充分和深入。这里仍以二律背反为切入口,集中... 详细信息

叶芝作为20世纪最伟大的诗人之一,其人其诗一直是众多研究者的探究热点,尤其是他晚期诗歌中的二律背反或悖论问题,大多数研究者认为其诗达成了在矛盾中的统一;有的虽得出相反结论,但研究不够充分和深入。这里仍以二律背反为切入口,集中研究叶芝晚期诗歌中的悖论表现及原因。研究发现,叶芝晚期诗歌中存在升华与去升华、身体与心灵、确定性与不确定性等几对主要矛盾。一方面,诗人叶芝运用这些矛盾或二律背反来组织和描述生活经历,另一方面,经由这种诗歌艺术的矛盾审美,诗人才能将其生活中经历的种种矛盾逐渐释放和消解。

关键词：叶芝晚期诗歌二律背反悖论

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：