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    • 5. 发明授权
    • General-purpose medical instrumentation
    • 通用医疗仪器
    • US08079953B2
    • 2011-12-20
    • US11099031
    • 2005-04-05
    • Jeffrey C. BraunCharles J. JacobusScott BoothMichael SuarezDerek SmithJeff HartnagleGlenn Leprell
    • Jeffrey C. BraunCharles J. JacobusScott BoothMichael SuarezDerek SmithJeff HartnagleGlenn Leprell
    • A61B5/00
    • A61B5/0006A61B5/0022A61B5/1112A61B2560/04G06F19/00G06F19/3418G16H40/40G16H40/63Y10S128/92
    • A general-purpose, low-cost system provides comprehensive physiological data collection, with extensive data object oriented programmability and configurability for a variety of medical as well as other analog data collection applications. In a preferred embodiment, programmable input signal acquisition and processing circuits are used so that virtually any analog and/or medical signal can be digitized from a common point of contact to a plurality of sensors. A general-purpose data routing and encapsulation architecture supports input tagging and standardized routing through modern packet switch networks, including the Internet; from one of multiple points of origin or patients, to one or multiple points of data analysis for physician review. The preferred architecture further supports multiple-site data buffering for redundancy and reliability, and real-time data collection, routing, and viewing (or slower than real-time processes when communications infrastructure is slower than the data collection rate). Routing and viewing stations allow for the insertion of automated analysis routines to aid in data encoding, analysis, viewing, and diagnosis.
    • 一个通用的低成本系统提供了全面的生理数据采集,具有广泛的面向数据对象的可编程性和可配置性,适用于各种医疗以及其他模拟数据采集应用。 在优选实施例中,使用可编程输入信号采集和处理电路,使得实际上可以将任何模拟和/或医疗信号从公共接触点数字化到多个传感器。 通用数据路由和封装架构支持通过现代分组交换网络(包括因特网)进行输入标记和标准化路由; 从多个起点或患者之一,到医师审查的一个或多个数据分析点。 优选架构还支持冗余和可靠性的多站点数据缓冲,以及实时数据收集,路由和查看(或者当通信基础架构比数据收集速率慢时,比实时流程慢)。 路由和查看站允许插入自动化分析程序来辅助数据编码,分析,查看和诊断。
    • 6. 发明授权
    • Method for consolidating medical records through the world wide web
    • 通过万维网整合医疗记录的方法
    • US08073712B2
    • 2011-12-06
    • US11141430
    • 2005-05-31
    • Charles J. JacobusJeffrey BraunPaul Cobb
    • Charles J. JacobusJeffrey BraunPaul Cobb
    • G06Q50/00
    • G06F19/322G06F19/00G06Q10/10G06Q50/22G06Q50/24G16H10/60
    • Medical records, clinical observations, and medical imagery are organized and aggregated into a common database, enabling the data to be viewed and/or updated by medical practitioners world-wide. The information may also be viewed and monitored by patients or their relatives for accuracy, also regardless of their location. The invention further allows the records to be updated by manually controlled or automated instrumentation which measures medical parameters whether located in a doctors office, in a hospital setting, in the patient's home, or worn by the patient. Common access and point-to-point data transmission is via the global grid, or over public access common data networks supporting TCP/IP, most often referred to as the Internet. The same approach can be using insider an organization over an internal network or Intranet.
    • 医疗记录,临床观察和医学图像被组织并汇总成一个共同的数据库,使得数据可以被世界各地的医疗人员查看和/或更新。 这些信息也可以由患者或其亲属进行查看和监视,以获得准确性,也不管其位置如何。 本发明还允许通过手动控制或自动化仪器来更新记录,该仪器测量医疗参数,无论是医院办公室,医院环境中,在患者家中,还是患者佩戴的。 公共访问和点对点数据传输是通过全球网格,或通过公共访问支持TCP / IP的通用数据网络,通常被称为互联网。 同样的方法可以通过内部网络或内部网使用内部组织。
    • 7. 发明授权
    • Realtime object tracking system
    • 实时对象追踪系统
    • US07684592B2
    • 2010-03-23
    • US12013717
    • 2008-01-14
    • George V. PaulGlenn J. BeachCharles J. CohenCharles J. Jacobus
    • George V. PaulGlenn J. BeachCharles J. CohenCharles J. Jacobus
    • G06K9/00
    • G06K9/00335A63F2300/1093A63F2300/6045A63F2300/69G06F3/017G06K9/00355G06T7/246
    • A real-time computer vision system tracks one or more objects moving in a scene using a target location technique which does not involve searching. The imaging hardware includes a color camera, frame grabber and processor. The software consists of the low-level image grabbing software and a tracking algorithm. The system tracks objects based on the color, motion and/or shape of the object in the image. A color matching function is used to compute three measures of the target's probable location based on the target color, shape and motion. The method then computes the most probable location of the target using a weighting technique. Once the system is running, a graphical user interface displays the live image from the color camera on the computer screen. The operator can then use the mouse to select a target for tracking. The system will then keep track of the moving target in the scene in real-time.
    • 实时计算机视觉系统使用不涉及搜索的目标定位技术跟踪在场景中移动的一个或多个对象。 成像硬件包括彩色摄像机,帧采集器和处理器。 该软件由低级图像抓取软件和跟踪算法组成。 该系统基于图像中对象的颜色,运动和/或形状来跟踪对象。 颜色匹配功能用于基于目标颜色,形状和运动计算目标可能位置的三个度量。 该方法然后使用加权技术计算目标的最可能的位置。 一旦系统运行,图形用户界面将在计算机屏幕上显示来自彩色摄像机的实时图像。 然后,操作员可以使用鼠标选择要跟踪的目标。 然后系统将实时跟踪场景中的移动目标。
    • 10. 发明授权
    • Gesture-controlled interfaces for self-service machines and other applications
    • 用于自助服务机器和其他应用的手势控制接口
    • US07460690B2
    • 2008-12-02
    • US11226831
    • 2005-09-14
    • Charles J. CohenGlenn BeachBrook CavellGene FoulkCharles J. JacobusJay ObermarkGeorge Paul
    • Charles J. CohenGlenn BeachBrook CavellGene FoulkCharles J. JacobusJay ObermarkGeorge Paul
    • G06K9/00G06K9/36G06F3/033
    • G06K9/00355A63F2300/1093A63F2300/6045G06F3/017G06T7/246
    • A gesture recognition interface for use in controlling self-service machines and other devices is disclosed. A gesture is defined as motions and kinematic poses generated by humans, animals, or machines. Specific body features are tracked, and static and motion gestures are interpreted. Motion gestures are defined as a family of parametrically delimited oscillatory motions, modeled as a linear-in-parameters dynamic system with added geometric constraints to allow for real-time recognition using a small amount of memory and processing time. A linear least squares method is preferably used to determine the parameters which represent each gesture. Feature position measure is used in conjunction with a bank of predictor bins seeded with the gesture parameters, and the system determines which bin best fits the observed motion. Recognizing static pose gestures is preferably performed by localizing the body/object from the rest of the image, describing that object, and identifying that description. The disclosure details methods for gesture recognition, as well as the overall architecture for using gesture recognition to control of devices, including self-service machines.
    • 公开了一种用于控制自助服务机器和其他设备的手势识别界面。 手势被定义为人类,动物或机器产生的运动和运动姿态。 跟踪特定身体特征,并解释静态和运动手势。 运动手势被定义为参数定界的振荡运动系列,被建模为参数线性参数动态系统,附加的几何约束允许使用少量的存储器和处理时间进行实时识别。 优选使用线性最小二乘法来确定表示每个姿态的参数。 特征位置测量结合使用手势参数种子的预测器仓组,并且系统确定哪个箱最适合观察到的运动。 识别静态姿势手势优选地通过将来自图像的其余部分的身体/物体定位,描述该对象并识别该描述来执行。 本公开详细描述了用于手势识别的方法,以及用于使用手势识别来控制设备(包括自助服务机器)的整体架构。