专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2006125145A8 PATIENT DATA MINING IMPROVEMENTS 审中-公开
标题翻译：患者数据挖掘改进
公开(公告)号：WO2006125145A8
公开(公告)日：2008-05-29
申请号：PCT/US2006019418
申请日：2006-05-18
申请人： SIEMENS MEDICAL SOLUTIONS , RAO R BHARAT , KRISHNAN SRIRAM , LANDI WILLIAM A , CASE RANDALL
发明人： RAO R BHARAT , KRISHNAN SRIRAM , LANDI WILLIAM A , CASE RANDALL
IPC分类号： G06F19/00
CPC分类号： G06F19/321 , G06Q50/24 , G16H50/70
摘要： Improvements in mining information from patient records and/or use of such mined information are provided. A scheduled appointment is identified. In response, the patient record is mined to identify any possible lack of adherence. A form requiring authorization and including a clinical action or prescription is generated to address, at least in part, the lack of adherence. Contact with a patient is initiated by a processor, at least in part, in response to a lack of adherence. A request for documentation is generated in response to mining indicating an inadequate probability of adherence to a guideline. During real-time, additional information to be obtained which may alter a probability is suggested.

2. 发明申请

WO2008060358A3 SYSTEM AND METHOD FOR PROVIDING THE CAPABILITY OF PEELING THIN POLYMER FILMS FROM A SUBSTRATE 审中-公开
公开(公告)号：WO2008060358A3
公开(公告)日：2008-05-22
申请号：PCT/US2007/020940
申请日：2007-09-28
申请人： MASSACHUSETTS INSTITUTE OF TECHNOLOGY , KRISHNAN, Sriram , SARMA, Sanjay
发明人： KRISHNAN, Sriram , SARMA, Sanjay
IPC分类号： B29C65/00
摘要： A system and method for providing the capability of peeling thin polymer films from a substrate is provided. Generally, the method contains the steps of: providing a substrate having a top surface and a bottom surface; placing a peel initiator on the top surface; applying a polymer on the top surface of the substrate and a top surface of the peel initiator; curing the polymer, resulting in a thin-polymer film; and peeling the peel initiator from the substrate, thereby removing the thin-polymer film from the top surface of the substrate.

3. 发明申请

WO2007119221A3 METHOD AND APPARATUS FOR EXTRACTING MUSICAL SCORE FROM A MUSICAL SIGNAL 审中-公开
公开(公告)号：WO2007119221A3
公开(公告)日：2007-10-25
申请号：PCT/IB2007/051378
申请日：2007-04-17
申请人： KONINKLIJKE PHILIPS ELECTRONICS, N.V. , U.S. PHILIPS CORPORATION , SINGH, Pranav , KRISHNAN, Sriram
发明人： SINGH, Pranav , KRISHNAN, Sriram
IPC分类号： G10H1/00
摘要： The present invention provides a system and a method for extracting musical note sequence from a musical signal by incorporating music theory and instrument knowledge. The method includes receiving a replica of a musical signal, identifying musical notes and instrument frequency envelopes of the musical signal by means of spectral analysis and an adaptive knowledgebase, generating a subtractive signal based on the musical notes and instrument frequency envelopes, and subtracting the subtractive signal from the replica of the musical signal. The note-sequence extracted from music signals is used to mine a music database significantly improving search and similarity calculation. The method of present invention provides printable musical score of the musical signal which includes staff and tablature notations with beamed notes, dynamic marks, ornaments, velocity marks and accidentals.

4. 发明申请

WO2006125145A2 PATIENT DATA MINING IMPROVEMENTS 审中-公开
标题翻译：患者数据挖掘改进
公开(公告)号：WO2006125145A2
公开(公告)日：2006-11-23
申请号：PCT/US2006/019418
申请日：2006-05-18
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , RAO, R. Bharat , KRISHNAN, Sriram , LANDI, William A. , CASE, Randall
发明人： RAO, R. Bharat , KRISHNAN, Sriram , LANDI, William A. , CASE, Randall
CPC分类号： G06F19/321 , G06F19/00 , G06Q50/24 , G16H50/70
摘要： Improvements in mining information (402) from patient records and/or use (404) of such mined information are provided. A scheduled appointment (406) is identified. In response, the patient record is mined (402) to identify any possible lack of adherence. A form (408) requiring authorization and including a clinical action or prescription is generated to address, at least in part, the lack of adherence. Contact (410) with a patient is initiated by a processor (102), at least in part, in response to a lack of adherence. A request for documentation (412) is generated in response to mining indicating an inadequate probability of adherence to a guideline. During real-time, additional information to be obtained which may alter a probability is suggested.
摘要翻译：提供了来自患者记录和/或使用（404）这种开采信息的挖掘信息（402）的改进。确定了预定的约会（406）。作为回应，患者记录被开采（402）以识别任何可能的不遵守。产生要求授权并包括临床行为或处方的表格（408），至少部分地解决缺乏遵守性。与患者的接触（410）由处理器（102）发起，至少部分地响应于缺乏依从性。响应于挖掘而产生文档请求（412），表明遵守准则的概率不足。建议实时更新可能会改变概率的信息。

5. 发明申请

WO2006083569A9 CHARACTERIZATION OF CARDIAC MOTION WITH SPATIAL RELATIONSHIP 审中-公开
标题翻译：具有空间关系的心脏运动特征
公开(公告)号：WO2006083569A9
公开(公告)日：2006-10-19
申请号：PCT/US2006001931
申请日：2006-01-18
申请人： SIEMENS MEDICAL SOLUTIONS , QAZI MALEEHA , KAMASAK MUSTAFA , DUNDAR MURAT , FUNG GLENN , KRISHNAN SRIRAM , RAO R BHARAT
发明人： QAZI MALEEHA , KAMASAK MUSTAFA , DUNDAR MURAT , FUNG GLENN , KRISHNAN SRIRAM , RAO R BHARAT
IPC分类号： A61B5/00
CPC分类号： G06T7/0012 , A61B5/00 , A61B5/055 , A61B5/7267 , A61B6/03 , A61B6/5217 , A61B8/08 , G06F19/321 , G06K9/00335 , G06K2209/051 , G06T7/20 , G06T2207/30048 , G16H50/20 , G16H50/50
摘要： Cardiac motion is automatically characterized (28) based on spatial relationship to health. A classifier is trained for the characterization of cardiac motion. Regional wall motion abnormality assessment (28) may be improved by combining information from neighboring segments (S). The structure or relationship between different segments (S) and associated probabilities of different spatial locations being abnormal given another segment (S) being abnormal are used for classification.
摘要翻译：心脏运动根据与健康的空间关系自动表征（28）。训练分类器以表征心脏运动。区域性室壁运动异常评估（28）可通过结合来自邻近区段（S）的信息来改善。使用另一个片段（S）异常的不同片段（S）之间的结构或关系以及不同空间位置的相关概率被异常用于分类。

6. 发明申请

WO2005096226A3 SYSTEMS AND METHODS PROVIDING AUTOMATED DECISION SUPPORT FOR MEDICAL IMAGING 审中-公开
标题翻译：提供医疗成像自动化决策支持的系统和方法
公开(公告)号：WO2005096226A3
公开(公告)日：2006-04-27
申请号：PCT/US2005009646
申请日：2005-03-23
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS CORP RES INC , KRISHNAN SRIRAM , COMANICIU DORIN , XIANG SEAN ZHOU , CANNON MICHAEL G , DUTTON ALLEN
发明人： KRISHNAN SRIRAM , COMANICIU DORIN , XIANG SEAN ZHOU , CANNON MICHAEL G , DUTTON ALLEN
IPC分类号： G06T7/00
CPC分类号： G06T7/0012
摘要： Systems and methods are provided for processing a medical image to automatically identify the anatomy and view (or pose) from the medical image and automatically assess the diagnostic quality of the medical image. In one aspect a method for automated decision support for medical imaging includes obtaining image data, extracting feature data from the image data, and automatically performing anatomy identification, view identification and/or determining a diagnostic quality of the image data, using the extracted feature data.
摘要翻译：提供了系统和方法来处理医学图像以自动识别解剖结构并从医学图像中观察（或姿势）并自动评估医学图像的诊断质量。一方面，用于医学成像的自动决策支持的方法包括从所述图像数据获取图像数据，提取特征数据，以及使用所提取的特征数据自动执行解剖识别，查看识别和/或确定图像数据的诊断质量。

7. 发明申请

WO2005081168A3 SYSTEMS AND METHODS FOR AUTOMATED DIAGNOSIS AND DECISION SUPPORT FOR HEART RELATED DISEASES AND CONDITIONS 审中-公开
标题翻译：自动诊断和心理支持的系统与方法相关疾病和病症
公开(公告)号：WO2005081168A3
公开(公告)日：2005-12-01
申请号：PCT/US2004040757
申请日：2004-12-06
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS CORP RES INC , KRISHNAN SRIRAM , GUPTA ALOK , RAO R BHARAT , COMANICIU DORIN , ZHOU XIANG SEAN
发明人： KRISHNAN SRIRAM , GUPTA ALOK , RAO R BHARAT , COMANICIU DORIN , ZHOU XIANG SEAN
IPC分类号： A61B5/05 , G06F17/00 , G06F19/00
CPC分类号： G16H50/20
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心肌功能，心脏疾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。

8. 发明申请

WO2004081875A3 SYSTEM AND METHOD FOR TRACKING A GLOBAL SHAPE OF AN OBJECT IN MOTION 审中-公开
标题翻译：跟踪运动对象的全球形状的系统和方法
公开(公告)号：WO2004081875A3
公开(公告)日：2005-10-06
申请号：PCT/US2004007068
申请日：2004-03-08
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , COMANICIU DORIN , KRISHNAN SRIRAM , ZHOU XIANG SEAN , GEORGESCU BOGDAN
发明人： COMANICIU DORIN , KRISHNAN SRIRAM , ZHOU XIANG SEAN , GEORGESCU BOGDAN
IPC分类号： G06K9/00 , G06T5/00 , G06T7/20
CPC分类号： G06K9/6247 , G06K9/3216 , G06K9/629 , G06K2209/051 , G06T7/215 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A system and method for tracking a global shape of an object in motion is disclosed. One or more control points along an initial contour of the global shape are defined. Each of the one or more control points is tracked as the object is in motion. Uncertainty of a location of a control point in motion is represented using a number of techniques. The uncertainty to constrain the global shape is exploited using a prior shape model. In an alternative embodiment, multiple appearance models are built for each control point and the motion vectors produced by each model are combined in order to track the shape of the object. The movement of the shape of the object can be visually tracked using a display and color vectors.
摘要翻译：公开了一种跟踪运动对象的全局形状的系统和方法。定义沿着全局形状初始轮廓的一个或多个控制点。一个或多个控制点中的每一个在物体运动时被跟踪。使用许多技术来表示控制点在运动中的位置的不确定性。使用先前的形状模型来利用限制全局形状的不确定性。在替代实施例中，为每个控制点构建多个外观模型，并且组合由每个模型产生的运动矢量以跟踪对象的形状。可以使用显示和颜色向量来可视地跟踪对象的形状的移动。

9. 发明申请

WO2005078631A1 HIERARCHICAL MODELING IN MEDICAL ABNORMALITY DETECTION 审中-公开
标题翻译：医学异常检测中的分层建模
公开(公告)号：WO2005078631A1
公开(公告)日：2005-08-25
申请号：PCT/US2005/004188
申请日：2005-02-09
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , KRISHNAN, Sriram , BI, Jinbo , RAO, R. Bharat
发明人： KRISHNAN, Sriram , BI, Jinbo , RAO, R. Bharat
IPC分类号： G06F19/00
CPC分类号： G16H50/20 , G06F19/00 , G16H50/50
摘要： Hierarchal modeling is used to distinguish one state (26, 28, 32, 34, 38, 40, 44, 46) or class from three or more classes. In a first stage, a normal (26) or other class is distinguished from a diseased (28) or other groups of classes. If the results of the first stage classification indicate diseased (28) or data within the groups of different classes, a subsequent stage of classification is performed. In a subsequent stage of classification, the data is classified to distinguish one or more other classes (32, 34, 38, 40, 44, 46) from the remaining classes. Using two or more stages, medical information is classified by eliminating one or more possible classes in each stage to finally identify a particular class (26, 28, 32, 34, 38, 40, 44, 46) most appropriate or probable for the data.
摘要翻译：分层建模用于将一个状态（26,28,32,34,38,40,44,46）或类与三个或更多个类别区分开。在第一阶段，正常（26）或其他类别与患病（28）或其他类别的组不同。如果第一阶段分类的结果表示患病（28）或不同类别的组内的数据，则进行后续分类阶段。在分类的后续阶段，数据被分类以区分一个或多个其他类别（32,34,38,40,44,46）与其余类别。使用两个或更多个阶段，通过消除每个阶段中的一个或多个可能的类别来分类医学信息，以最终确定最合适或可能的数据的特定类别（26,28,34,34,38,40,44,46）。

10. 发明申请

WO2009091595A2 SYSTEM AND METHOD FOR PRIVACY PRESERVING PREDICTIVE MODELS FOR LUNG CANCER SURVIVAL ANALYSIS 审中-公开
标题翻译：用于肺癌预防分析的预防性预防模型的隐私保护系统和方法
公开(公告)号：WO2009091595A2
公开(公告)日：2009-07-23
申请号：PCT/US2009/000313
申请日：2009-01-16
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , MAASTRO CLINIC , FUNG, Glenn , RAO, R. Bharat , KRISHNAN, Sriram , YU, Shipeng , DEHING-OBERIJE, Cary , LAMBIN, Phillippe , DE RUYSSCHER, Dirk
发明人： FUNG, Glenn , RAO, R. Bharat , KRISHNAN, Sriram , YU, Shipeng , DEHING-OBERIJE, Cary , LAMBIN, Phillippe , DE RUYSSCHER, Dirk
IPC分类号： G06K9/62
CPC分类号： G06K9/62 , G06F19/00 , G06F21/6254 , G06K9/6215 , G06K9/6232 , G06K9/6269 , G16H50/20 , G16H50/70
摘要： A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing (21) a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix A i of cancer survival data that is not publicly available, providing (22) a class matrix D i for each of the data matrices A i , providing (23) a kernel K(A i , B) by each of said plurality of entities to allow public computation of a full kernel, and computing a(24) binary classifier that incorporates said public full kernel, wherein said classifier is adapted to classify (25) a new data vector according to a sign of said classifier.
摘要翻译：用于隐私保护数据挖掘以确定癌症存活率的计算机实现方法包括提供（21）由多个实体同意的随机矩阵B，其中每个实体i拥有不是的癌症存活数据的数据矩阵A i 为每个数据矩阵A i提供（22）类矩阵D i，提供（23）由所述多个实体中的每一个实体的核K（A i，B），以允许公共计算完整内核，以及计算包含所述公共完整内核的（24）二进制分类器，其中所述分类器适于根据所述分类器的符号对（25）新的数据向量进行分类。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式