人体上肢辅助康复训练设备的开发

开发了能够帮助上肢瘫痪患者逐步恢复上肢运动功能的上肢辅助康复训练设备.通过编写上肢动作组控制该设备模仿正常人体上肢动作,以此带动患者上肢的康复运动.在设计上肢动作时,参考人体医学相关知识和人体生理结构特征,获得上肢运动的极限位置信息,在此基础上进行机械结构设计和选材.控制系统采用高精度、大扭力舵机.实验结果基本符合人体上肢康复运动规律.     

基于Leap Motion的脑卒中上肢功能康复主动运动系统

运动疗法对脑卒中患者的运动功能康复具有明显作用,为使患者主动参与康复训练过程,利用Leap Motion和PC构建了一套低成本的虚拟康复及评价系统.患者在虚拟游戏引导下完成训练任务,通过Leap Motion捕获手部姿态实现上肢与虚拟环境的自然交互,更好地激发患者主动康复的意愿,系统通过任务完成度评分对患者的康复效果进行评价.试验结果表明,该系统可操作性强且成本低廉,患者通过训练可以达到辅助上肢康复的目的.     

基于力反馈的上肢康复机器人

针对脑中风引起的偏瘫患者,提出了一种新的基于虚拟现实技术上的上肢康复机器人系统。该系统主要由上肢外骨骼装置,触觉装置,电机控制器和工作站组成。患者穿戴上肢外骨骼机构,安装在患者患侧,通过电机带动外骨骼运动从而使患者患侧运动。在外骨骼运动过程中,通过力反馈机构将患者受力或施力反馈到三维触觉操作器,进而反馈给对其辅助治疗的医生。     

一种7自由度外骨骼上肢康复机器人设计与控制研究

针对外骨骼上肢康复机器人自由度受限的问题,根据上肢关节运动机理对上肢结构进行模型简化,提出一种改进的7自由度外骨骼上肢康复机器人结构设计,并对运动支撑的各部分单元进行结构建模和分析,根据安全人机工程学进行了康复运动系统的电气设计与控制研究.研究结果表明,该7自由度外骨骼上肢康复机器人在结构设计上更加符合人因工学,控制机制优化,安全性能良好,为实现后期的实时控制与运动规划奠定了基础.     

新型可穿戴式多自由度气动上肢康复机器人

针对中风和脑外伤患者的运动功能障碍问题,设计了一种新型可穿戴式多自由度上肢康复机器人,采用气动肌肉驱动,能有效辅助患者完成肩伸、肩旋、肘伸以及指掌和指间关节的复合功能运动训练.最后,采用PID控制器进行了初步的临床实验,实现了各关节角度的参考轨迹跟踪.实验结果验证了所设计的上肢康复机器人的可用性和有效性.     

Kinect在上肢康复机器人运动控制中的应用

为进一步提升上肢康复机器人使用过程中的人机交互体验、增强康复医师对康复训练方案的个性化定制能力,以实验室已开发的上肢康复机器人为基础,引入Kinect体感摄像头对原有主动臂控制从动臂的控制模式进行改进,构建了一套运动数据采集系统。试验结果表明,该系统能有效采集被测对象的运动数据,以简捷、高效且低成本的方式来实现上肢康复机器人的运动控制。     

人机末端交互运动中轨迹跟随控制算法

为了解决上肢康复机器人的灵活性低、体积笨重和康复效果差等问题，提出了使用协作机器人UR10作为一种新的康复辅助工具的控制算法。通过建立UR10的运动学模型和患者手臂运动学模型，确定患者手臂与UR10协作机器人末端交互运动的灵巧空间，获得机器人与患者合理的相对安放位置。在患者上肢手掌心能够到达的运动空间中，选定两条距离长度最远的空间轨迹，利用Robotics Toolbox对机器人末端沿代表性轨迹进行仿真，验证轨迹跟随控制的准确性。现场测试也验证了轨迹跟随和灵巧空间的有效性。     

基于模糊PI控制的穿戴式上肢康复机器人

为了加速患有运动功能障碍的患者上肢伸展功能的康复,研制出基于模糊PI控制的穿戴式上肢康复机器人.该上肢机器人借助结合眼动跟踪仪的虚拟现实平台通过气动肌肉驱动实现上肢的康复训练,采用模糊PI控制器对机器人实施位置控制.实验通过受试者穿戴该上肢机器人完成各关节的轨迹跟踪来检测模糊PI控制的效果.实验结果证明:模糊PI控制响应速度较快,轨迹跟踪误差较小,实用性较好.     

辅助上肢运动康复机器人技术研究

为了给上肢偏瘫患者的治疗提供有效的辅助工具,研制了一种新型神经康复机器人。该机器人采用二连杆机构模拟人体上肢,其中机器人大臂、小臂分别由两台伺服电机驱动,可以实现平面内的复合运动。另外,该机器人系统针对患者病情的不同阶段,可以提供相应的训练模式。对临床30名患者为期1个月的辅助治疗结果显示:病人对这种新的治疗方法不反感,上肢的运动功能得到明显改善,未发现其他副作用。     

适应肢体功能障碍患者的康复空间设计方法研究

肢体功能障碍患者行动不便,上肢、下肢丧失了全部或部分运动功能以及肢体不受大脑控制。为了能够加速实体功能障碍患者恢复效率,需要为其营造良好的康复空间。基于此,该文首先以肢体功能障碍患者需求进行分析,进而提出其康复空间设计方法。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.