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    • 12. 发明申请
    • SYSTEM FOR QUALITY ASSESSMENT OF PHYSIOLOGICAL SIGNALS AND METHOD THEREOF
    • 生理信号质量评估系统及其方法
    • US20130116580A1
    • 2013-05-09
    • US13701537
    • 2010-07-02
    • Jia LiuPandeng ZhangXiaochang LiuXiaoan GuJingyu YanXinyu WuYangsheng Xu
    • Jia LiuPandeng ZhangXiaochang LiuXiaoan GuJingyu YanXinyu WuYangsheng Xu
    • A61B5/04A61B5/0402A61B5/021A61B5/024A61B5/00A61B5/0215
    • A61B5/04017A61B5/02A61B5/021A61B5/0215A61B5/024A61B5/0402A61B5/7203A61B5/7221A61B5/7225A61B5/7264A61B5/7267
    • The present disclosure relates to a system for physiological signal quality assessment, the system includes: a first filter module for implementing a filter process on an inputted first physiological signal; a first periodicity detection module for detecting periodicity of the filtered first physiological signal, and determining periodic segmentation point of the first physiological signal; a feature extracting module for extracting corresponding signal features of the first physiological signal in each heart period; and a fuzzy logic module for building up a fuzzy logic model according to the extracted signal features, and calculating a signal quality index for the first physiological signal in the relative period based on the built fuzzy logic model, and determining a signal attribute according to the signal quality index. A method for physiological signal quality assessment is provided as well. The system and method for physiological signal quality assessment calculate the signal quality index, determine the signal attribute according to the signal quality index, therefore recognize the abnormal signal out of the first physiological signal, and result in high quality physiological signals.
    • 本公开涉及一种用于生理信号质量评估的系统,该系统包括:第一滤波器模块,用于对所输入的第一生理信号实现滤波处理; 第一周期性检测模块,用于检测经滤波的第一生理信号的周期性,以及确定第一生理信号的周期性分割点; 特征提取模块,用于在每个心脏周期中提取第一生理信号的相应信号特征; 以及模糊逻辑模块,用于根据所提取的信号特征建立模糊逻辑模型,并且基于所建立的模糊逻辑模型在相对周期中计算所述第一生理信号的信号质量指数,并且根据所述模糊逻辑模型确定信号属性 信号质量指标。 还提供了用于生理信号质量评估的方法。 生理信号质量评估系统和方法计算信号质量指标,根据信号质量指标确定信号属性,从而识别第一生理信号中的异常信号,产生高质量的生理信号。
    • 15. 发明授权
    • Method and device for detecting bright brain regions from computed tomography images
    • 用于从计算机断层摄影图像检测亮脑区域的方法和装置
    • US08849000B2
    • 2014-09-30
    • US13513453
    • 2009-12-04
    • Qingmao Hu
    • Qingmao Hu
    • G06K9/00G06T7/00G06T7/60A61B6/00A61B6/03
    • G06T7/0012A61B6/03A61B6/501G06T7/11G06T7/136G06T7/155G06T7/62G06T7/68G06T2207/10081G06T2207/30016
    • A method and devices are disclosed to detect bright brain regions (BBRs) from clinical non-enhanced computed tomography images through large grayscale, large grayscale asymmetry with respect to the midsagittal plane (MSP), and large grayscale local contrast. An adaptive approach is disclosed to determine thresholds of the 3 features and adjust the window width for data conversion. The substantial grayscale variability of BBRs for a subject is addressed by finding the bright portion followed by recovering. Those BBR voxels symmetrical to the MSP are recovered, partial volume effects are compensated and the high grayscale regions which may not correspond to intracerebral hemorrhage are excluded. The disclosed method and system could be a useful tool to aid classifying stroke types, quantifying intracerebral hemorrhage and enhancing stroke therapy.
    • 公开了一种方法和装置,用于从临床非增强计算机断层摄影图像通过大灰度,相对于中位面(MSP)的大灰度不对称性和大灰度局部对比度来检测亮脑区域(BBR)。 公开了一种自适应方法来确定3个特征的阈值并调整数据转换的窗口宽度。 通过找到明亮部分,然后进行恢复来解决受试者的BBR的实质灰度变化。 恢复与MSP对称的那些BBR体素,补偿部分体积效应,排除可能不对应于脑内出血的高灰度区域。 所公开的方法和系统可以是帮助分类卒中类型,量化脑内出血和增强中风治疗的有用工具。
    • 17. 发明授权
    • Robotic pet-sitter system
    • 机器人宠物保健系统
    • US08006643B2
    • 2011-08-30
    • US12234253
    • 2008-09-19
    • Yangsheng XuHuihuan QianHang TongBufu HuangXi Shi
    • Yangsheng XuHuihuan QianHang TongBufu HuangXi Shi
    • A01K1/00
    • A01K15/021A01K5/0291H04Q9/00H04Q2209/40H04Q2209/75
    • A robotic pet-sitter system comprises a control system and a robotic body, the control system used to wireless launch control instruction signals; a wireless receiver module is defined in the robotic body, used to receive control instruction signals and to process the control instruction signals into control signals, the robotic body further comprises a driving system and a feeding module, the driving system used to drive the robotic body moving according to the control signals, the feeding module used to open the feeding box placed with pet food according to the control signals. The local PC communicates with a remote PC through Internet, and the remote PC long-distance controls the robotic body and monitors pet through Internet. The robotic pet-sitter system of the present invention can care for and monitor the pet when the owner is not at home.
    • 机器人宠物保护系统包括控制系统和机器人身体,用于无线发射控制指令信号的控制系统; 无线接收机模块定义在机器人身体中,用于接收控制指令信号并将控制指令信号处理成控制信号,机器人体还包括驱动系统和馈送模块,驱动系统用于驱动机器人体 根据控制信号移动,供料模块根据控制信号用于打开与宠物食品放置的饲养箱。 本地PC通过互联网与远程PC进行通信,远程PC远程控制机器人身体,并通过互联网监视宠物。 当所有者不在家时,本发明的机器人宠物保健系统可以照料和监视宠物。