APPARATUS, SYSTEM, AND METHOD FOR AUTOMATIC IDENTIFICATION OF SENSOR PLACEMENT
    1.
    发明申请
    APPARATUS, SYSTEM, AND METHOD FOR AUTOMATIC IDENTIFICATION OF SENSOR PLACEMENT 有权
    用于传感器放置自动识别的装置,系统和方法

    公开(公告)号:US20140032165A1

    公开(公告)日:2014-01-30

    申请号:US14002665

    申请日:2012-03-02

    IPC分类号: G06F3/01

    摘要: A location of a sensor is determined by: (1) receiving time series data including components in a plurality of dimensions, wherein the time series data correspond to measurements of the sensor that is applied to a subject; (2) determining a plurality of subsequences associated with the time series data, wherein each of the plurality of subsequences represents a characteristic pattern projected along one of the plurality of dimensions; (3) identifying a correlated subset of the plurality of subsequences as at least one instance of an activity of the subject; and (4) based on features of the correlated subset, determining the location of the sensor as applied to the subject.

    摘要翻译: 传感器的位置通过以下方式确定:(1)接收包括多个维度的分量的时间序列数据,其中时间序列数据对应于应用于被摄体的传感器的测量值; (2)确定与所述时间序列数据相关联的多个子序列,其中所述多个子序列中的每一个表示沿所述多个维度中的一个投影的特征图案; (3)将所述多个子序列的相关子集识别为所述对象的活动的至少一个实例; 和(4)基于相关子集的特征,确定传感器应用于对象的位置。

    Exercise-Based Entertainment And Game Controller To Improve Health And Manage Obesity
    5.
    发明申请
    Exercise-Based Entertainment And Game Controller To Improve Health And Manage Obesity 审中-公开
    基于运动的娱乐和游戏控制器来改善健康和管理肥胖

    公开(公告)号:US20130090213A1

    公开(公告)日:2013-04-11

    申请号:US13427738

    申请日:2012-03-22

    IPC分类号: A63B71/00

    CPC分类号: G06F19/3481

    摘要: Monitoring and rewarding of physical activity are carried out by: (1) receiving a measurement of a physical activity from a sensor; (2) processing the measurement of the physical activity to derive a valid extent of the physical activity; and (3) controlling an entertainment device based on the valid extent of the physical activity.

    摘要翻译: 通过以下方式进行身体活动的监测和奖励:(1)从传感器接收身体活动的测量; (2)处理身体活动的测量,以得出体力活动的有效范围; 和(3)基于身体活动的有效范围控制娱乐装置。

    Placement method for integrated circuit design using topo-clustering
    6.
    发明授权
    Placement method for integrated circuit design using topo-clustering 有权
    使用拓扑聚类的集成电路设计的放置方法

    公开(公告)号:US06851099B1

    公开(公告)日:2005-02-01

    申请号:US09511705

    申请日:2000-02-23

    IPC分类号: G06F17/50

    CPC分类号: G06F17/5072

    摘要: The present invention, generally speaking, provides a placement method for the physical design of integrated circuits in which natural topological feature clusters (topo-clusters) are discovered and exploited during the placement process. Initial placement and placement refinement may be performed hierarchically using topocluster trees. A topocluster tree may be used to drive initial placement. An iterative placement refinement process then follows, using a technique referred to herein as Geometrically-Bounded FM (GBFM). In GBFM, FM is applied on a local basis to windows encompassing some number of bins. From iteration to iteration, windows may shift position and vary in size. When a region bounded by a window meets a specified cost threshold in terms of a specified cost function, that region does not participate. The cost function takes account of actual physical metrics-delay, area, congestion, power, etc. During placement refinement using GBFM, cluster size is adjusted iteratively from large to small as determined by horizontal cuts within the topocluster tree. GBFM occurs in the context of recursive quadrisection. Hence, after GBFM has been completed, a further quadrisection step is performed in which each bin is divided into four bins, with a quarter of the gates of the original bin being placed in the center of each of the resulting bins. GBFM then follows, and the cycle repeats until each bin contains a fairly small number of gates. Topocluster trees may also be used for quadrisection. Following the foregoing global placement process, the circuit is then ready for detailed placement in which cells are assigned to placement rows.

    摘要翻译: 本发明一般地提供了一种用于集成电路的物理设计的放置方法,其中在放置过程中发现和利用了自然拓扑特征簇(地形簇)。 初始放置和放置细化可以使用顶簇树进行分层执行。 可以使用顶层树来驱动初始放置。 然后,使用本文称为几何有界FM(GBFM)的技术,随后进行迭代放置细化过程。 在GBFM中,FM在本地基础上应用于包含一些数量的分区的窗口。 从迭代到迭代,窗口可能会改变位置并且大小变化。 当由窗口界定的区域在指定的成本函数方面满足指定的成本阈值时,该区域不参与。 成本函数考虑了实际的物理量度 - 延迟,区域,拥塞,功率等。在使用GBFM进行布局优化时,通过顶层树中的水平切割确定了簇大小从大到小的迭代调整。 GBFM发生在递归四分法的上下文中。 因此,在GBFM完成之后,执行进一步的四分法步骤,其中每个仓分为四个仓,原始仓的四分之一的门被放置在每个结果仓的中心。 然后遵循GBFM,循环重复,直到每个仓包含相当少数量的门。 群集树也可用于四次检验。 按照上述全局放置过程,电路准备好进行详细的放置,其中将单元格分配给放置行。

    Placement method for integrated circuit design using topo-clustering
    7.
    发明授权
    Placement method for integrated circuit design using topo-clustering 失效
    使用拓扑聚类的集成电路设计的放置方法

    公开(公告)号:US06442743B1

    公开(公告)日:2002-08-27

    申请号:US09097107

    申请日:1998-06-12

    IPC分类号: G06F1750

    CPC分类号: G06F17/5072

    摘要: The disclosure describes a placement method for the physical design of integrated circuits in which natural topological feature clusters are discovered and exploited during the placement process is disclosed. Topo-clusters drive initial placement, with all of the gates of a topo-cluster being placed initially in a single bin of the placement layout or within a group of positionally-related bins. An iterative placement refinement process is done using a technique referred to as Dual Geometrically-Bounded FM (GBFM). GBFM is applied on a local basis to windows encompassing a number of bins. From iteration to iteration, windows may shift position and vary in size. When a region bounded by a window meets a specified cost threshold in terms of a specified cost function, that region stops participating. Following the foregoing global placement process the circuit is then ready for detailed placement in which cells are assigned to placement rows.

    摘要翻译: 本公开描述了用于集成电路的物理设计的放置方法,其中公开了在放置过程期间发现和利用自然拓扑特征簇。 拓扑群集驱动初始位置,其中所有的拓扑群集的门最初都放置在放置布局的一个bin或一组位置相关的区域中。 使用称为双重几何限幅FM(GBFM)的技术完成迭代放置细化过程。 GBFM在本地基础上应用于包含多个分区的窗口。 从迭代到迭代,窗口可能会改变位置并且大小变化。 当由窗口界定的区域在指定的成本函数方面满足指定的成本阈值时,该区域停止参与。 按照上述全局放置过程,电路准备好进行详细的放置,其中将单元格分配给放置行。

    Method and apparatus for quantitative assessment of neuromotor disorders
    9.
    发明授权
    Method and apparatus for quantitative assessment of neuromotor disorders 有权
    用于定量评估神经运动障碍的方法和装置

    公开(公告)号:US08845554B2

    公开(公告)日:2014-09-30

    申请号:US12528777

    申请日:2008-03-07

    摘要: The present invention relates to methods and apparatus for quantitative assessment of neuromotor disorders using sensors and analyzing the data collected from the sensors to determine if a patient suffers any neuromotor disorders. In one embodiment, the present invention is a system for assessing neuromotor disorders in a body including a plurality of pressure sensors adapted for attachment to the body and measuring pressure, a med node connected to the plurality of pressure sensors for generating data corresponding to the plurality of pressure sensors, and an analysis unit connected to the med node for analyzing the data generated by the med node to determine the existence of a neuromotor disorder in the body.

    摘要翻译: 本发明涉及使用传感器定量评估神经运动障碍的方法和装置,并分析从传感器收集的数据,以确定患者是否患有任何神经运动障碍。 在一个实施例中,本发明是一种用于评估身体中的神经运动障碍的系统,包括适于附接到身体并测量压力的多个压力传感器,连接到多个压力传感器的med节点,用于产生对应于多个 压力传感器的分析单元和连接到med节点的分析单元,用于分析由med节点生成的数据,以确定身体中神经运动障碍的存在。

    SYSTEMS AND METHODS FOR MISSING DATA IMPUTATION
    10.
    发明申请
    SYSTEMS AND METHODS FOR MISSING DATA IMPUTATION 审中-公开
    用于丢失数据传输的系统和方法

    公开(公告)号:US20140207493A1

    公开(公告)日:2014-07-24

    申请号:US14241431

    申请日:2012-08-27

    IPC分类号: G06F19/00

    摘要: Congestive heart failure (CHF) is a leading cause of death in the United States. WANDA is a wireless health project that leverages sensor technology and wireless communication to monitor the health status of patients with CHF. The first pilot study of WANDA showed the system's effectiveness for patients with CHF. However, WANDA experienced a considerable amount of missing data due to system misuse, nonuse, and failure. Missing data is highly undesirable as automated alarms may fail to notify healthcare professionals of potentially dangerous patient conditions. Embodiments of the present disclosure may utilize machine learning techniques including projection adjustment by contribution estimation regression (PACE), Bayesian methods, and voting feature interval (VFI) algorithms to predict both non-binomial and binomial data. The experimental results show that the aforementioned algorithms are superior to other methods with high accuracy and recall.

    摘要翻译: 充血性心力衰竭(CHF)是美国的主要死亡原因。 WANDA是一个利用传感器技术和无线通信监测CHF患者健康状况的无线健康项目。 WANDA的首例试验研究显示,该系统对CHF患者的疗效。 然而,由于系统误用,不用和故障,WANDA遭遇了大量的丢失数据。 缺少数据是非常不希望的,因为自动化警报可能无法通知医疗保健专业人员潜在的危险患者状况。 本公开的实施例可以利用机器学习技术,包括通过贡献估计回归(PACE)的投影调整,贝叶斯方法和投票特征区间(VFI)算法来预测非二项和二项数据。 实验结果表明,上述算法优于其他具有高精度和召回率的方法。