目的采用低频振幅(amplitude of low frequency fluctuation,ALFF)与功能连接(functional connectivity,FC)相结合的方法,研究原发性甲状腺功能亢进患者静息状态下脑功能改变。材料与方法 12名未经治疗的甲亢患者为病例组,12名自愿接受...目的采用低频振幅(amplitude of low frequency fluctuation,ALFF)与功能连接(functional connectivity,FC)相结合的方法,研究原发性甲状腺功能亢进患者静息状态下脑功能改变。材料与方法 12名未经治疗的甲亢患者为病例组,12名自愿接受扫描的健康人(年龄、性别无显著性差异)为对照组。采集所有被试静息态f MRI数据,采用REST及DPARSF软件分析原始数据,得出全脑ALFF,利用双样本t检验的方法比较病例组和对照组ALFF的变化,并以两组间ALFF值有显著性差异的脑区为感兴趣区(regions of interest,ROI)校正后行FC分析。结果与对照组相比,甲亢患者在双侧尾状核及双侧丘脑ALFF值降低(P<0.001)。以上脑区的ALFF值均未发现与T3、T4有显著相关性(P>0.05)。FC分析显示,左侧丘脑与双侧感觉运动区(包括中央前回、中央后回)FC增强(P<0.001);右侧丘脑与右侧中央前回及中央后回连接增强(P<0.001)。结论甲亢患者双侧丘脑的局部活动及其与大脑感觉运动网络的FC模式存在异常,增强的FC可能与代谢损伤所导致运动机能受损而使甲状腺功能异常患者有更强的功能需求有关。展开更多
This work presents a Fuzzy Logic Controller （FLC） assigned to control a robotic arm motion while avoiding the obstacles that may face the robotic arm in its movement from the initial point to the final point in an o...This work presents a Fuzzy Logic Controller （FLC） assigned to control a robotic arm motion while avoiding the obstacles that may face the robotic arm in its movement from the initial point to the final point in an optimized manner, in addition to avoid the singularity phenomenon, and without any exceeding of the physical constraints of the robot arm. A real platform （5 DOF ＂Degree Of Freedom＂ Lab Volt 5150 Robotic Arm） is used to carry this work practically, in addition to providing it by a vision sensor, where a new approach is proposed to inspect the robot work environment using a designed integrated MATLAB program having the ability to recognize the changeable locations of each of the robotic arm＇s end-effector, the goal, and the multi existed obstacles through a recorded film taken by a webcam, then these information will be treated using the FLC where its outputs represent the values that must be delivered to the robot to adopt them in its next steps till reaching to the goal in collision-free movements. The experimental results showed that the developed robotic ann travels successfully from Start to Goal where a high percentage of accuracy in arriving to Goal was achieved, and without colliding with any obstacle ensuring the harmonization between the theoretical part and the experimental part in achieving the best results of controlling the robotic arm＇s motion.展开更多
文摘目的采用低频振幅(amplitude of low frequency fluctuation,ALFF)与功能连接(functional connectivity,FC)相结合的方法,研究原发性甲状腺功能亢进患者静息状态下脑功能改变。材料与方法 12名未经治疗的甲亢患者为病例组,12名自愿接受扫描的健康人(年龄、性别无显著性差异)为对照组。采集所有被试静息态f MRI数据,采用REST及DPARSF软件分析原始数据,得出全脑ALFF,利用双样本t检验的方法比较病例组和对照组ALFF的变化,并以两组间ALFF值有显著性差异的脑区为感兴趣区(regions of interest,ROI)校正后行FC分析。结果与对照组相比,甲亢患者在双侧尾状核及双侧丘脑ALFF值降低(P<0.001)。以上脑区的ALFF值均未发现与T3、T4有显著相关性(P>0.05)。FC分析显示,左侧丘脑与双侧感觉运动区(包括中央前回、中央后回)FC增强(P<0.001);右侧丘脑与右侧中央前回及中央后回连接增强(P<0.001)。结论甲亢患者双侧丘脑的局部活动及其与大脑感觉运动网络的FC模式存在异常,增强的FC可能与代谢损伤所导致运动机能受损而使甲状腺功能异常患者有更强的功能需求有关。
文摘This work presents a Fuzzy Logic Controller （FLC） assigned to control a robotic arm motion while avoiding the obstacles that may face the robotic arm in its movement from the initial point to the final point in an optimized manner, in addition to avoid the singularity phenomenon, and without any exceeding of the physical constraints of the robot arm. A real platform （5 DOF ＂Degree Of Freedom＂ Lab Volt 5150 Robotic Arm） is used to carry this work practically, in addition to providing it by a vision sensor, where a new approach is proposed to inspect the robot work environment using a designed integrated MATLAB program having the ability to recognize the changeable locations of each of the robotic arm＇s end-effector, the goal, and the multi existed obstacles through a recorded film taken by a webcam, then these information will be treated using the FLC where its outputs represent the values that must be delivered to the robot to adopt them in its next steps till reaching to the goal in collision-free movements. The experimental results showed that the developed robotic ann travels successfully from Start to Goal where a high percentage of accuracy in arriving to Goal was achieved, and without colliding with any obstacle ensuring the harmonization between the theoretical part and the experimental part in achieving the best results of controlling the robotic arm＇s motion.
