Many studies have examined motor impairments using voxel-based lesion symptom mapping, but few are reported regarding the corresponding relationship between cerebral cortex injury and lower limb motor impairment analy...Many studies have examined motor impairments using voxel-based lesion symptom mapping, but few are reported regarding the corresponding relationship between cerebral cortex injury and lower limb motor impairment analyzed using this technique. This study correlated neuro- nal injury in the cerebral cortex of 16 patients with chronic stroke based on a voxel-based lesion symptom mapping analysis. Neuronal injury in the corona radiata, caudate nucleus and putamen of patients with chronic stroke could predict walking speed. The behavioral measure scores were consistent with motor deficits expected after damage to the cortical motor system due to stroke. These findings suggest that voxel-based lesion symptom mapping may provide a more accurate prognosis of motor recovery from chronic stroke according to neuronal injury in cerebral motor cortex.展开更多
A new inductive motors load equivalence algorithm based on coherence is proposed in this paper. In order to partite motors load rapidly and accurately, fuzzy c-means clustering along with particle swarm optimization (...A new inductive motors load equivalence algorithm based on coherence is proposed in this paper. In order to partite motors load rapidly and accurately, fuzzy c-means clustering along with particle swarm optimization (PSO-FCM) algorithm is proposed to identify coherent motors base on its physical essence of fuzziness. The merits of PSO algorithm are independent to initial value and convergent to optimum value rapidly, and the validity function is constructed to assess clustering validity. The test on IEEE 39-Bus System is presented to evaluate the effectiveness of the new algorithm, the membership matrix definite not only coherence group of motors but also correlation value of coherence between motors. The algorithm can be used to partite motor load based on coherency in dynamic equivalence with power system operating on different modes.展开更多
目的:脑卒中运动功能障碍患者康复工作的开展至关重要,然而目前缺少脑卒中患者在康复病房、社区以及家庭康复管理的相关证据总结。本研究旨在汇总脑卒中运动功能障碍患者康复管理的相关证据,为临床和社区医护人员开展康复干预提供参考...目的:脑卒中运动功能障碍患者康复工作的开展至关重要,然而目前缺少脑卒中患者在康复病房、社区以及家庭康复管理的相关证据总结。本研究旨在汇总脑卒中运动功能障碍患者康复管理的相关证据,为临床和社区医护人员开展康复干预提供参考依据。方法:系统检索BMJ Best Practice、UpToDate、美国国立指南库、美国心脏协会/美国卒中协会、加拿大医学会、英国国家卫生与临床优化研究所、美国退伍军人事务部/国防部、加拿大安大略注册护士协会、JBI循证卫生保健中心数据库、The Cochrane Library、PubMed、Web of Science、Embase、CINAHL、中国知网、万方数据库、维普数据库、中国生物医学文献系统中关于脑卒中运动功能障碍患者康复管理的所有文献,包括临床决策、指南、专家共识、推荐实践、系统评价、证据总结,检索时限为建库至2023年10月。由2名研究者独立对文献进行质量评价。结果:共纳入21篇文献,包括11篇指南、2篇专家共识和8篇系统评价。通过对纳入文献的证据进行提取与整合,从康复管理模式、康复机构、康复团队、康复介入时机、康复评估、康复项目、康复时间和频率、康复强度和康复支持9个领域中汇总45条证据,涵盖了脑卒中患者早期、亚急性期和慢性期全病程的三级康复管理的相关内容。结论:本研究汇总的脑卒中运动功能障碍患者康复管理的最佳证据较为全面,证据质量较高,对临床和社区医护人员开展康复干预具有重要指导意义。建议应用证据时,综合考虑脑卒中患者当前病情、运动功能受损情况、环境因素和患者的意愿,然后选择最适合的康复方案,并根据每位患者的具体需求和喜好调整训练的种类和强度。展开更多
基金supported by intramural funding from the University of South Carolina McCausland Center for Brain Imaging
文摘Many studies have examined motor impairments using voxel-based lesion symptom mapping, but few are reported regarding the corresponding relationship between cerebral cortex injury and lower limb motor impairment analyzed using this technique. This study correlated neuro- nal injury in the cerebral cortex of 16 patients with chronic stroke based on a voxel-based lesion symptom mapping analysis. Neuronal injury in the corona radiata, caudate nucleus and putamen of patients with chronic stroke could predict walking speed. The behavioral measure scores were consistent with motor deficits expected after damage to the cortical motor system due to stroke. These findings suggest that voxel-based lesion symptom mapping may provide a more accurate prognosis of motor recovery from chronic stroke according to neuronal injury in cerebral motor cortex.
文摘A new inductive motors load equivalence algorithm based on coherence is proposed in this paper. In order to partite motors load rapidly and accurately, fuzzy c-means clustering along with particle swarm optimization (PSO-FCM) algorithm is proposed to identify coherent motors base on its physical essence of fuzziness. The merits of PSO algorithm are independent to initial value and convergent to optimum value rapidly, and the validity function is constructed to assess clustering validity. The test on IEEE 39-Bus System is presented to evaluate the effectiveness of the new algorithm, the membership matrix definite not only coherence group of motors but also correlation value of coherence between motors. The algorithm can be used to partite motor load based on coherency in dynamic equivalence with power system operating on different modes.
文摘目的:脑卒中运动功能障碍患者康复工作的开展至关重要,然而目前缺少脑卒中患者在康复病房、社区以及家庭康复管理的相关证据总结。本研究旨在汇总脑卒中运动功能障碍患者康复管理的相关证据,为临床和社区医护人员开展康复干预提供参考依据。方法:系统检索BMJ Best Practice、UpToDate、美国国立指南库、美国心脏协会/美国卒中协会、加拿大医学会、英国国家卫生与临床优化研究所、美国退伍军人事务部/国防部、加拿大安大略注册护士协会、JBI循证卫生保健中心数据库、The Cochrane Library、PubMed、Web of Science、Embase、CINAHL、中国知网、万方数据库、维普数据库、中国生物医学文献系统中关于脑卒中运动功能障碍患者康复管理的所有文献,包括临床决策、指南、专家共识、推荐实践、系统评价、证据总结,检索时限为建库至2023年10月。由2名研究者独立对文献进行质量评价。结果:共纳入21篇文献,包括11篇指南、2篇专家共识和8篇系统评价。通过对纳入文献的证据进行提取与整合,从康复管理模式、康复机构、康复团队、康复介入时机、康复评估、康复项目、康复时间和频率、康复强度和康复支持9个领域中汇总45条证据,涵盖了脑卒中患者早期、亚急性期和慢性期全病程的三级康复管理的相关内容。结论:本研究汇总的脑卒中运动功能障碍患者康复管理的最佳证据较为全面,证据质量较高,对临床和社区医护人员开展康复干预具有重要指导意义。建议应用证据时,综合考虑脑卒中患者当前病情、运动功能受损情况、环境因素和患者的意愿,然后选择最适合的康复方案,并根据每位患者的具体需求和喜好调整训练的种类和强度。
