Artificial bone with porous structure is crucial for tissue scaffold and clinic implants.Scaffold provides structure support for cells and guides tissues regeneration for final tissue structure.A computational aided p...Artificial bone with porous structure is crucial for tissue scaffold and clinic implants.Scaffold provides structure support for cells and guides tissues regeneration for final tissue structure.A computational aided process of porous bone modeling was developed which described the design and fabrication of tissue scaffolds by considering intricate architecture,porosity and pore size.To simulate intricate bone structure,different constructive units were presented.In modeling process,bone contour was gotten from computed tomography(CT)images and was divided into two levels.Each level was represented by relatively reconstructive process.Pore size distribution was controlled by using mesh generation.The whole hexahedral mesh was reduced by unit structure,when a 3D mesh with various hexahedral elements was provided.The simulation results show that constructive structure of porous scaffold can meet the needs of clinic implants in accurate and controlled way.展开更多
在脑电信号的肢体运动想象特征分类识别中,融合不同域特征提取时,存在动作识别准确度不高的问题。针对此问题,本文依据多通道采集中肢体运动想象脑电特征的复杂不同域关系,设计了用于识别肢体动作的脑电-对称正定网络运动特征分类模型,...在脑电信号的肢体运动想象特征分类识别中,融合不同域特征提取时,存在动作识别准确度不高的问题。针对此问题,本文依据多通道采集中肢体运动想象脑电特征的复杂不同域关系,设计了用于识别肢体动作的脑电-对称正定网络运动特征分类模型,有效提取并融合不同域特征,实现了基于脑电信号的肢体特征分类以及动作的有效识别。实验结果表明,在识别四类肢体是否运动的运动想象数据集BCI Competition IV 2a上,基于所构建的分类模型在动作识别时的准确率达到0.85,Kappa系数达到0.80,具有较高精度。展开更多
基金Project(2011DFB70230)supported by State International Cooperation Program of ChinaProject(N110403003)supported by Basic Research Foundation of Education Ministry of China
文摘Artificial bone with porous structure is crucial for tissue scaffold and clinic implants.Scaffold provides structure support for cells and guides tissues regeneration for final tissue structure.A computational aided process of porous bone modeling was developed which described the design and fabrication of tissue scaffolds by considering intricate architecture,porosity and pore size.To simulate intricate bone structure,different constructive units were presented.In modeling process,bone contour was gotten from computed tomography(CT)images and was divided into two levels.Each level was represented by relatively reconstructive process.Pore size distribution was controlled by using mesh generation.The whole hexahedral mesh was reduced by unit structure,when a 3D mesh with various hexahedral elements was provided.The simulation results show that constructive structure of porous scaffold can meet the needs of clinic implants in accurate and controlled way.
文摘在脑电信号的肢体运动想象特征分类识别中,融合不同域特征提取时,存在动作识别准确度不高的问题。针对此问题,本文依据多通道采集中肢体运动想象脑电特征的复杂不同域关系,设计了用于识别肢体动作的脑电-对称正定网络运动特征分类模型,有效提取并融合不同域特征,实现了基于脑电信号的肢体特征分类以及动作的有效识别。实验结果表明,在识别四类肢体是否运动的运动想象数据集BCI Competition IV 2a上,基于所构建的分类模型在动作识别时的准确率达到0.85,Kappa系数达到0.80,具有较高精度。
