公开(公告)号：US08060178B2

公开(公告)日：2011-11-15

申请号：US12243199

申请日：2008-10-01

申请人： Xiang Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

发明人： Xiang Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

IPC分类号： A61B5/00

CPC分类号： G06K9/6276 ,  A61B8/0883 ,  G06F19/00 ,  G06K9/6256 ,  G06K2209/05 ,  G06Q50/22 ,  G16H50/20 ,  Y10S128/92 ,  Y10S128/924

摘要： A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.

摘要翻译： 公开了一种用于在医学检查期间向医师提供决策支持的系统和方法。 从代表特定医疗测量的传感器接收数据。 所接收的数据包括图像数据。 相对于一组或多组训练模型分析接收到的数据和上下文数据。 特定医疗测量和其他测量的概率值基于分析并基于识别的类别导出。 将接收到的图像数据与训练图像进行比较。 在接收的图像数据和训练图像之间确定距离值，并且训练图像与所识别的类别相关联。 基于分析，针对特定医疗测量和其他测量得出绝对值特征灵敏度得分。 将概率值，距离值和绝对值特征灵敏度得分输出给用户。

公开(公告)号：US07912528B2

公开(公告)日：2011-03-22

申请号：US10876801

申请日：2004-06-25

申请人： Sriram Krishnan ,  Alok Gupta ,  R. Bharat Rao ,  Dorin Comaniciu ,  Xiang Sean Zhou

发明人： Sriram Krishnan ,  Alok Gupta ,  R. Bharat Rao ,  Dorin Comaniciu ,  Xiang Sean Zhou

IPC分类号： A61B5/05

CPC分类号： G16H50/20 ,  G06F19/00

摘要： CAD (computer-aided diagnosis) systems and applications for cardiac imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated assessment of regional myocardial function through wall motion analysis, automated diagnosis of heart diseases and conditions such as cardiomyopathy, coronary artery disease and other heart-related medical conditions, and other automated decision support functions. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to “learn” to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.

摘要翻译： 提供了用于心脏成像的CAD（计算机辅助诊断）系统和应用，其实现了从受试患者的患者信息（包括图像数据和/或非图像数据）的集合中自动提取和分析特征的方法，以提供 对医师工作流程的各个方面的决策支持，包括例如通过壁运动分析自动评估区域性心肌功能，心脏病的自动诊断和诸如心肌病，冠状动脉疾病和其他与心脏相关的医疗状况等条件，以及其他自动化决策 支持功能。 CAD系统实施机器学习技术，其使用从一个或多个相关临床领域的标记的患者病例的数据库获得（学习）的一组训练数据和/或对这些数据的专家解释，使得CAD系统能够“学习” 分析患者数据，进行适当的诊断评估和决策，以协助医师的工作流程。

公开(公告)号：US07536044B2

公开(公告)日：2009-05-19

申请号：US10991933

申请日：2004-11-18

申请人： Xiang Sean Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu ,  R. Bharat Rao ,  Alok Gupta

发明人： Xiang Sean Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu ,  R. Bharat Rao ,  Alok Gupta

IPC分类号： G06K9/00 ,  G06K9/62

CPC分类号： G06K9/6206 ,  G06K9/6256 ,  G06T7/12 ,  G06T7/149 ,  G06T7/251 ,  G06T2207/10132 ,  G06T2207/30048

摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.

摘要翻译： 公开了一种使用外观和形状匹配解剖结构的检测框架。 使用图像的训练集，其中在图像中注释对象形状或结构。 图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。 训练集训练的分类算法用于检测其位置的结构。 该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。

公开(公告)号：US20060250939A1

公开(公告)日：2006-11-09

申请号：US11390623

申请日：2006-03-27

申请人： Michael Wang ,  Alok Gupta

发明人： Michael Wang ,  Alok Gupta

IPC分类号： H04J11/00

CPC分类号： H04L27/2656 ,  H04L27/261 ,  H04L27/2657 ,  H04L27/2675

摘要： Systems and methods are provided for processing Time Domain Multiplexing Pilot symbols by employing matched filtering components to process delayed correlator outputs as opposed to applying a fixed threshold directly to the delayed correlator outputs. In an embodiment, a method for timing acquisition in a wireless network is provided. The method includes filtering a correlation output of a TDM pilot via an edge template and employing the correlation output to determine timing or frequency in a wireless network.

摘要翻译： 提供了系统和方法，用于通过采用匹配的滤波分量来处理延迟的相关器输出来处理时域多路复用导频符号，而不是将直接将固定阈值应用于延迟的相关器输出。 在一个实施例中，提供了一种用于无线网络中的定时获取的方法。 该方法包括通过边缘模板对TDM导频的相关输出进行滤波，并采用相关输出来确定无线网络中的定时或频率。

公开(公告)号：US20050163262A1

公开(公告)日：2005-07-28

申请号：US11020413

申请日：2004-12-22

申请人： Alok Gupta

发明人： Alok Gupta

IPC分类号： H04L27/26 ,  H04L27/06

CPC分类号： H04L27/2656 ,  H04L27/2657 ,  H04L27/2662 ,  H04L27/2675

摘要： A robust initial frame detection and symbol synchronization system and methodology are provided. In particular, a first pilot is employed in conjunction with three acquisition stages. In the first stage, an attempt is made to observe the leading edge of the correlation curve associated with the first pilot symbol. In the second stage, a determination is made as to whether a leading edge was detected in the first stage by attempting to observe a flat portion and/or trailing edge of the correlation curve. Furthermore, during this second stage, a frequency loop can be updated to account for frequency offset. The third stage is for observing the trailing edge of the curve if it was not already observed in stage two. Upon detection and confirmation of receipt of the first pilot, a second pilot can subsequently be employed to acquire fine symbol timing.

摘要翻译： 提供了鲁棒的初始帧检测和符号同步系统和方法。 特别地，与三个采集阶段结合使用第一飞行员。 在第一阶段，尝试观察与第一导频符号相关联的相关曲线的前沿。 在第二阶段中，通过尝试观察相关曲线的平坦部分和/或后缘来确定在第一阶段中是否检测到前缘。 此外，在该第二阶段期间，可以更新频率环以考虑频率偏移。 如果在第二阶段没有观察到，则第三阶段用于观察曲线的后缘。 在检测并确认接收到第一导频时，随后可以采用第二导频来获取精细符号定时。

公开(公告)号：US20050063298A1

公开(公告)日：2005-03-24

申请号：US10931324

申请日：2004-08-31

申请人： Fuyun Ling ,  Alok Gupta ,  Raghuraman Krishnamoorthi ,  Ramaswamy Murali ,  Rajiv Vijayan ,  Bojan Vrcelj

发明人： Fuyun Ling ,  Alok Gupta ,  Raghuraman Krishnamoorthi ,  Ramaswamy Murali ,  Rajiv Vijayan ,  Bojan Vrcelj

IPC分类号： H04B3/10 ,  H04J20060101 ,  H04J1/16 ,  H04J11/00

CPC分类号： H04L27/2657 ,  H04L5/005 ,  H04L25/022 ,  H04L27/2613 ,  H04L27/2662 ,  H04L27/2665 ,  H04L2027/003

摘要： In an OFDM system, a transmitter broadcasts a first TDM pilot on a first set of subbands followed by a second TDM pilot on a second set of subbands in each frame. The subbands in each set are selected from among N total subbands such that (1) an OFDM symbol for the first TDM pilot contains at least S1 identical pilot-1 sequences of length L1 and (2) an OFDM symbol for the second TDM pilot contains at least S2 identical pilot-2 sequences of length L2, where L2>L1, S1·L1=N, and S2·L2=N. The transmitter may also broadcast an FDM pilot. A receiver processes the first TDM pilot to obtain frame timing (e.g., by performing correlation between different pilot-1 sequences) and further processes the second TDM pilot to obtain symbol timing (e.g., by detecting for the start of a channel impulse response estimate derived from the second TDM pilot).

摘要翻译： 在OFDM系统中，发射机在第一组子带上广播第一TDM导频，随后在每帧中的第二组子带上接收第二TDM导频。 每个组中的子带从N个总子带中选出，使得（1）第一TDM导频的OFDM符号包含长度为L1的至少S1个相同的导频1序列，以及（2）第二TDM导频的OFDM符号包含 至少S2个长度为L2的导频-2序列，其中L2> L1，S1.L1 = N，S2.L2 = N。 发射机还可以广播FDM导频。 接收机处理第一TDM导频以获得帧定时（例如，通过执行不同导频-1序列之间的相关）并且进一步处理第二TDM导频以获得符号定时（例如，通过检测导出的信道脉冲响应估计的开始 从第二TDM导频）。

公开(公告)号：US6014682A

公开(公告)日：2000-01-11

申请号：US866590

申请日：1997-05-30

申请人： Karen J. Stephen ,  Alok Gupta ,  Jonathan Cromwell

发明人： Karen J. Stephen ,  Alok Gupta ,  Jonathan Cromwell

IPC分类号： H03H17/00 ,  H03H17/02 ,  H03H17/06 ,  G06F17/10

CPC分类号： H04L7/0029 ,  H03H17/0275 ,  H03H17/0642 ,  H03H2218/04

摘要： Methods and apparatus for variable-rate down-sampling filters for discrete-time sampled systems using a fixed sampling rate are disclosed. The Variable Rate Down-Sampling Filter allows a continuous range of sample rates to be derived from input samples at a fixed rate. The output rate does not have to be related to the fixed input rate in any integral or rational way, and in fact, the output rate can vary in time such as will occur when tracking a signal received from a station using a different timebase. A fixed sampling rate at the A/D Converter greatly simplifies the design of the analog front end. A single anti-aliasing filter can be designed and precisely matched to the fixed sampling rate. Used with a frequency-modulated numerically controlled oscillator (NCO), the Down-Sampling Filter keeps the entire frequency-synthesis and time-tracking loop in the digital domain. The need for an analog time-tracking loop to adjust the sampling instant at the A/D converter is eliminated. The need for an analog frequency synthesizer to generate a variable sampling rate is also eliminated. System design and performance analysis are simplified as well by eliminating the complication of hybrid analog-digital control loops. Details are disclosed.

摘要翻译： 公开了使用固定采样率的离散时间采样系统的可变速率下采样滤波器的方法和装置。 可变速率下采样滤波器允许以固定速率从输入采样导出连续的采样率范围。 输出速率不必以任何整体或合理的方式与固定输入速率相关，事实上，输出速率可以在时间上变化，例如当使用不同的时基跟踪从站接收到的信号时将发生。 A / D转换器的固定采样率大大简化了模拟前端的设计。 可以设计单个抗混叠滤波器，并将其精确匹配到固定采样率。 与频率调制数控振荡器（NCO）一起使用，下采样滤波器将整个频率合成和时间跟踪循环保留在数字域中。 消除了在A / D转换器上需要模拟时间跟踪环路来调整采样时刻。 也消除了模拟频率合成器产生可变采样率的需要。 通过消除混合模拟数字控制回路的复杂性，简化了系统设计和性能分析。 详细披露。

公开(公告)号：US08481087B2

公开(公告)日：2013-07-09

申请号：US13003758

申请日：2009-07-29

申请人： Vijayalaksmi Ravindranath ,  Alok Gupta ,  Neha Sehgal ,  Subhash Chand Jain ,  Suman Thakur ,  Pankaj Khanna

发明人： Vijayalaksmi Ravindranath ,  Alok Gupta ,  Neha Sehgal ,  Subhash Chand Jain ,  Suman Thakur ,  Pankaj Khanna

IPC分类号： A61K36/00

CPC分类号： A61K36/81

摘要： The present invention provides Withania somnifera plant extract and composition comprising the extract useful for the treatment of neurodegenerative disease and/or disorders such as Alzheimers disease (AD). The present invention further provides a process for preparation of the extract.

摘要翻译： 本发明提供了有效的植物提取物和组合物，其包含可用于治疗神经变性疾病和/或病症如阿尔茨海默病（AD）的提取物。 本发明还提供了提取物的制备方法。

公开(公告)号：US20110229591A1

公开(公告)日：2011-09-22

申请号：US13003758

申请日：2009-07-29

申请人： Vijayalaksmi Ravindranath ,  Alok Gupta ,  Neha Sehgal ,  Subhash Chand Jain ,  Suman Thakur ,  Pankaj Khanna

发明人： Vijayalaksmi Ravindranath ,  Alok Gupta ,  Neha Sehgal ,  Subhash Chand Jain ,  Suman Thakur ,  Pankaj Khanna

IPC分类号： A61K36/81 ,  A61P25/28 ,  A61P25/16

CPC分类号： A61K36/81

摘要： The present invention provides Withania somnifera plant extract and composition comprising the extract useful for the treatment of neurodegenerative disease and/or disorders such as Alzheimers disease (AD). The present invention further provides a process for preparation of the extract.

摘要翻译： 本发明提供了有效的植物提取物和组合物，其包含可用于治疗神经变性疾病和/或病症如阿尔茨海默病（AD）的提取物。 本发明还提供了提取物的制备方法。

公开(公告)号：US20110142320A1

公开(公告)日：2011-06-16

申请号：US12968492

申请日：2010-12-15

申请人： Alok Gupta ,  Arun Krishnan ,  Xiang Sean Zhou

发明人： Alok Gupta ,  Arun Krishnan ,  Xiang Sean Zhou

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06T7/41 ,  G06T2207/10081 ,  G06T2207/10104 ,  G06T2207/20101 ,  G06T2207/30004 ,  G16H50/20

摘要： A system for providing automatic diagnosis and decision support includes: a medical image database; generative learning and modeling modules that build distributional appearance models and spatial relational models of organs or structures using images from the medical image database; a statistical whole-body atlas that includes one or more distributional appearance models and spatial relational models of organs or structure, in one or more whole-body imaging modalities, built by the generative learning and modeling modules; and discriminative learning and modeling modules that build two-class or multi-class classifiers for performing at least one of organ, structure or disease detection or segmentation.

摘要翻译： 一种用于提供自动诊断和决策支持的系统包括：医学图像数据库; 生成学习和建模模块，使用医学图像数据库中的图像构建器官或结构的分布外观模型和空间关系模型; 统计全身图集，包括一个或多个分布式外观模型和器官或结构的空间关系模型，在一个或多个全身成像模式中，由生成学习和建模模块构建; 以及构建用于执行器官，结构或疾病检测或分割中的至少一种的两类或多类分类器的辨别性学习和建模模块。