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Neural Regeneration Research 2011年第23期6卷 1780-1785页

作者： Suying Pan guanghao zhang Xiaolin Huo Jinzhu Bai Tao Song Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China Graduate College of Chinese Academy of Sciences Beijing 100190 China Department of Spinal Surgery Beijing Boai Hospital China Rehabilitation Research Center Capital Medical University Beijing 100068 China

To investigate characteristics of injury potentials after different degrees of spinal cord injury in rats the present study established models of spinal cord contusion with severe, moderate, and mild degrees of injury. Injury potential was measured in vivo using a direct current voltage amplification system. Results revealed that in the first 4 hours after acute spinal cord injury, initial amplitude of injury potential was greatest after severe injury, followed by moderate and mild injuries. Amplitude of injury potential decreased gradually with injury time, and the recession curve was logarithmic. Under the same degree of injuries, amplitude of rostral injury potential was generally less than caudal injury potential. Results suggested that injury potential reflected injury severity, because large initial amplitude of injury potential during the early injury stage implied severe injury.

关键词： injury potential degree of injury spinal cord injury neural regeneration

基于双重注意力机制WOA-CNN-BiLSTM模型的变压器油温预测方法

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变压器 2025年第1期62卷 41-50页

作者：郭鹏鸿唐治平张光昊王新兵朱美欣孔德靖山东电力设备有限公司山东济南250013 天津国电电力新能源开发有限公司天津300407

针对当前变压器油温预测模型难以充分利用大量时间序列数据的问题,提出一种双重注意力优化WOACNN-BiLSTM的变压器油温预测模型。该模型以变压器历史油温数据作为输入,将输入数据通过滑窗法进行升维,通过将通道注意力机制(Channel Attent... 详细信息

针对当前变压器油温预测模型难以充分利用大量时间序列数据的问题,提出一种双重注意力优化WOACNN-BiLSTM的变压器油温预测模型。该模型以变压器历史油温数据作为输入,将输入数据通过滑窗法进行升维,通过将通道注意力机制(Channel Attention Mechanism,CAM)即挤压激励模块(Squeeze-Excitation-Networks,SENet)与卷积神经网络(Convolutional neural network,CNN)结合挖掘特征关系,并采用双向长短时记忆网络(Bidirectional Long Short-Term Memory,BiLSTM)进一步挖掘时序特征;然后加入时间注意力机制(Time Attention Mechanism,TAM)进行权重分配,将建立好的模型使用鲸鱼算法(Whale Optimization Algorithm,WOA)进行超参数寻优,实现变压器油温预测。最后使用实测数据进行算例分析,验证此方法优越性。

关键词：变压器油温预测卷积神经网络双向长短期记忆网络注意力机制鲸鱼算法

Electrical stimulation modulates injury potentials in rats after spinal cord injury

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Neural Regeneration Research 2013年第27期8卷 2531-2539页

作者： guanghao zhang Xiaolin Huo Aihua Wang Changzhe Wu Cheng zhang Jinzhu Bai Beijing Key Laboratory of Bioelectromagnetism Institute of Electrical EngineeringChinese Academy of Sciences Department of Spinal Surgery Beijing Boai HospitalChina Rehabilitation Research CenterCapital Medical University

An injury potential is the direct current potential difference between the site of spinal cord injury and the healthy nerves. Its initial amplitude is a significant indicator of the severity of spinal cord injury, and many cations, such as sodium and calcium, account for the major portion of injury potentials. This injury potential, as wel as injury current, can be modulated by direct current field stimulation;however, the appropriate parameters of the electrical field are hard to define. In this paper, injury potential is used as a parameter to adjust the intensity of electrical stimulation. Injury potential could be modulated to slightly above 0 mV （as the anode-centered group） by placing the anodes at the site of the injured spinal cord and the cathodes at the rostral and caudal sections, or around-70 mV, which is resting membrane potential （as the cathode-centered group） by reversing the polarity of electrodes in the anode-centered group. In addition, rats receiving no electrical stimulation were used as the control group. Results showed that the absolute value of the injury potentials acquired after 30 minutes of electrical stimulation was higher than the control group rats and much lower than the initial absolute value, whether the anodes or the cathodes were placed at the site of injury. This phenomenon il ustrates that by changing the polarity of the electrical field, electrical stimulation can effectively modulate the injury potentials in rats after spinal cord injury. This is also beneficial for the spontaneous repair of the cel membrane and the reduction of cation influx.

关键词： neural regeneration spinal cord injury injury potential electrical stimulation electric parameters cations resting membrane potential neural regeneration electrode stimulator charge balance grants-supported paper neuroregeneration

Efficient DDPG via the Self-Supervised Method

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Efficient DDPG via the Self-Supervised Method

Morphology modulation of artificial muscles by thermodynamic-twist coupling

第32届中国控制与决策会议

作者： guanghao zhang Hongliang Chen Jianxun Li School of Electronic Information and Electrical EngineeringShanghai Jiaotong University Institute of Electro-optical Equipment AVIC

In this paper,embedded with self-supervised learning network,an efficient DDPG（Deep Deterministic Policy Gradient） RL algorithm is *** more essential characteristics of observing data included,the inputs of actor network and critic network of DDPG are replaced by the high-dimensional outputs from feature extracting layers and forward network ***,the parameters of these auxiliary layers are optimized with a self-supervised method by minimizing predicting errors,and thus both optimizing progresses can run parallelly and ***,an antagonistic air-fight simulation with a novel customized training index is introduced to perform the effectiveness and rising efficiency of our self-supervised DDPG RL algorithm.

关键词： Efficient DDPG Self-Supervised Method Inverse and Forward Model

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National Science Review 2023年第1期10卷 17-27页

作者： Xiaoyu Hu Jiatian Li Sitong Li guanghao zhang Run Wang Zhongsheng Liu Mengmeng Chen Wenqian He Kaiqing Yu Wenzhong Zhai Weiqiang Zhao Abdul Qadeer Khan Shaoli Fang Ray H.Baughman Xiang Zhou Zunfeng Liu State Key Laboratory of Medicinal Chemical Biology College of Chemistry and College of Pharmacy Key Laboratory of Functional Polymer Materials Frontiers Science Center for New Organic MatterNankai University Alan G.Mac Diarmid Nano Tech Institute University of Texas at Dallas Department of Science China Pharmaceutical University

Human muscles can grow and change their length with body development;therefore,artificial muscles that modulate their morphology according to changing needs are *** this paper,we report a strategy to transform an artificial muscle into a new muscle with a different morphology by thermodynamic-twist coupling,and illustrate its structural evolution during *** muscle length can be continuously modulated over a large temperature range,and actuation occurs by continuously changing the *** strategy is applicable to different actuation modes,including tensile elongation,tensile contraction and torsional *** is realized by twist insertion into a fibre to produce torsional *** anne aling causes partial thermodynamic relaxation of the spiral molecular chains,which serves as internal tethering and inhibits fibre twist release,thus producing a self-supporting artificial muscle that actuates under *** a sufficiently high temperature,further relaxation of the spiral molecular chains occurs,resulting in a new mus cle with a different length.A structural study provides an understanding of the thermo dynamic-twist *** work provides a new design strategy for intelligent materials.

关键词： artificial muscle actuator twist functional fibres bio-mimetic thermodynamic-twist coupling smart materials

Hierarchical Reinforcement Learning Adversarial Algorithm Against Opponent with Fixed Offensive Strategy

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 471-479页

作者：赵英策张广浩邢正宇李建勋 Shenyang Aircraft Design and Research Institute Shenyang 110031China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Based on option-critic algorithm,a new adversarial algorithm named deterministic policy network with option architecture is proposed to improve agent's performance against opponent with fixed offensive *** option network is introduced in upper level design,which can generate activated signal from defensive and of-fensive strategies according to temporary *** the lower level executive layer can figure out interactive action with guidance of activated signal,and the value of both activated signal and interactive action is evaluated by critic structure *** method could release requirement of semi Markov decision process effectively and eventually simplified network structure by eliminating termination possibility *** to the result of experiment,it is proved that new algorithm switches strategy style between offensive and defensive ones neatly and acquires more reward from environment than classical deep deterministic policy gradient algorithm does.

关键词： hierarchical reinforcement learning fixed offensive strategy option architecture deterministic gradi-entpolicy

Chronic intermittent hypoxia induces cardiac inflammation and dysfunction in a rat obstructive sleep apnea model

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The Journal of Biomedical Research 2016年第6期30卷 490-495页

作者： Qin Wei Yeping Bian Fuchao Yu Qiang zhang guanghao zhang Yang Li Songsong Song Xiaomei Ren Jiayi Tong Cardiovascular Institute Southeast University Department of Cardiology Zhongda Hospital Affiliated to Southeast University Department of Intensive Care Unit Jiangsu Province Official Hospital Department of Geriatrics Zhongda Hospital Affiliated to Southeast University

Chronic intermittent hypoxia is considered to play an important role in cardiovascular pathogenesis during the development of obstructive sleep apnea（OSA）.We used a well-described OSA rat model induced with simultaneous intermittent *** Sprague Dawley rats were individually placed into plexiglass chambers with air pressure and components were electronically *** rats were exposed to intermittent hypoxia 8 hours daily for *** changes of cardiac structure and function were examined by *** cardiac pathology,apoptosis,and fibrosis were analyzed by H＆E staining,TUNNEL assay,and picosirius staining,*** expression of inflammation and fibrosis marker genes was analyzed by quantitative real-time PCR and Western *** intermittent hypoxia/low pressure resulted in significant increase of left ventricular internal diameters（LVIDs）,endsystolic volume（ESV）,end-diastolic volume（EDV）,and blood lactate level and marked reduction in ejection fraction and fractional *** intermittent hypoxia increased TUNNEL-positive myocytes,disrupted normal arrangement of cardiac fibers,and increased Sirius stained collagen *** expression levels of hypoxia induced factor（HIF）-l α,NF-κB,IL-6,and matrix metallopeptidase 2（MMP-2） were significantly increased in the heart of rats exposed to chronic intermittent *** conclusion,the left ventricular function was adversely affected by chronic intermittent hypoxia,which is associated with increased expression of HIF-lα and NF-κB signaling molecules and development of cardiac inflammation,apoptosis and fibrosis.

关键词： obstructive sleep apnea model chronic intermittent hypoxia cardiac dysfunction inflammation

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人体通信技术研究进展

中国生物医学工程学报 2015年第3期34卷 345-353页

作者：汪啸尘张广浩霍小林中国科学院电工研究所生物电磁学北京市重点实验室北京100190 中国科学院大学电子电气与通信工程学院北京100049

人体通信是一种利用人体作为信号传输途径的新型非射频无线通信技术,被设计用于进行医疗传感器网络间的通信。在2012年批准的无线体域网标准IEEE802.15.6中,人体通信与窄带通信、超宽带通信一同被规定为搭建无线体域网的三种方法。人体... 详细信息

人体通信是一种利用人体作为信号传输途径的新型非射频无线通信技术,被设计用于进行医疗传感器网络间的通信。在2012年批准的无线体域网标准IEEE802.15.6中,人体通信与窄带通信、超宽带通信一同被规定为搭建无线体域网的三种方法。人体通信依据耦合方式的不同可分为两种基本类型:电容耦合和电流耦合。文中首先对这两种类型的人体通信原理进行了介绍;之后详细说明了人体通信技术的产生、发展及现状,并通过与其他技术的对比总结了其优势与不足;最后指出了其未来发展的3个重要方向:植入式设备的人体通信、人体通信无线供能和磁场耦合式人体通信。

关键词：人体通信无线体域网电容耦合电流耦合移动医疗

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脊髓电刺激诱发复合动作电位仿真研究

生物医学工程学杂志 2021年第2期38卷 232-240页

作者：张广浩张丞吴昌哲霍小林中国科学院电工研究所生物电磁学北京市重点实验室北京100190 中国科学院大学电子电气与通信工程学院北京100149

脊髓电刺激(SCS)治疗慢性疼痛以一种开环的方式植入,植入后刺激参数一般保持不变。为了避免电极位置变化引起刺激强度不足或过度刺激,可以利用SCS电极记录的诱发复合动作电位(ECAP)作为反馈信号,来调整刺激参数。本文建立了SCS同步记录E... 详细信息

脊髓电刺激(SCS)治疗慢性疼痛以一种开环的方式植入,植入后刺激参数一般保持不变。为了避免电极位置变化引起刺激强度不足或过度刺激,可以利用SCS电极记录的诱发复合动作电位(ECAP)作为反馈信号,来调整刺激参数。本文建立了SCS同步记录ECAP的仿真模型,并研究ECAP波形与脊髓背侧柱(DC)纤维兴奋程度之间的关系。通过SCS有限元仿真模型和感觉纤维多房室电缆模型的耦合计算SCS作用下由膜电流引起的单纤维动作电位(SFAP),将SFAP叠加获得电极上记录的差分形式的ECAP信号。仿真结果表明ECAP中不同的波谷对应着不同直径的感觉纤维,由波谷位置和幅值可以判断DC纤维兴奋程度。不超过10%DC纤维兴奋时的ECAP波谷对应着大直径感觉纤维,20%及以上DC纤维兴奋时出现慢传导的波谷,对应着小直径感觉纤维,且DC纤维兴奋程度越高,波谷幅值越大,但大直径纤维对应的波谷幅值保持不变。本文建立的SCS同步采集ECAP仿真模型可以模拟ECAP信号并由波谷位置和幅度判断DC纤维兴奋程度,进而判定刺激强度过小、适当或过大,为基于ECAP的闭环SCS在未来的临床应用提供理论依据。

关键词：脊髓电刺激房室模型有限元模型闭环刺激诱发复合动作电位