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1. 发明申请

US20090234626A1 DOSE DISTRIBUTION MODELING BY REGION FROM FUNCTIONAL IMAGING 有权
标题翻译：通过功能成像对地区进行剂量分配建模
公开(公告)号：US20090234626A1
公开(公告)日：2009-09-17
申请号：US12398487
申请日：2009-03-05
申请人： Shipeng Yu , Glenn Fung , Steven Florian Petit , Hugo J.W.L. Aerts , Claudia Offermann , Michel Oellers , Philippe Lambin , Dirk de Ruysscher , Andreas Lubbertus Aloysius Johannes Dekker , Sriram Krishnan
发明人： Shipeng Yu , Glenn Fung , Steven Florian Petit , Hugo J.W.L. Aerts , Claudia Offermann , Michel Oellers , Philippe Lambin , Dirk de Ruysscher , Andreas Lubbertus Aloysius Johannes Dekker , Sriram Krishnan
IPC分类号： G06G7/60
CPC分类号： A61N5/1031 , A61N2005/1041 , G06F19/00 , G06N99/005 , G06T11/00 , G16H50/50
摘要： Functional imaging information is used to determine a probability of residual disease given a treatment. The functional imaging information shows different characteristic levels for different regions of the tumor. The probability is output for planning use and/or used to automatically determine dose by region. Using the probability, the dose may be distributed by region so that some regions receive a greater dose than other regions. This distribution by region of dose more likely treats the tumor with a same dose, allows a lesser dose to sufficient treat the tumor, and/or allows a greater dose with a lesser or no increase in risk to normal tissue. The dose plan may account for personalized tumors as each patient may have distinct tumors. Probability of dose application accuracy may also be used, so that a combined treatment probability allows efficient dose planning.
摘要翻译：功能成像信息用于确定给予治疗的残留疾病的概率。功能成像信息显示肿瘤不同区域的不同特征水平。输出用于规划使用的概率和/或用于按区域自动确定剂量。使用概率，剂量可以按区域分布，使得一些区域比其他区域接受更大的剂量。通过剂量区域的这种分布更可能以相同的剂量治疗肿瘤，允许较小剂量足以治疗肿瘤，和/或允许更大剂量对正常组织的风险较小或不增加。每个患者可能具有不同的肿瘤，剂量计划可以说明个体化肿瘤。也可以使用剂量施用精度的概率，使得组合的治疗概率允许有效的剂量计划。

2. 发明授权

US08812240B2 Dose distribution modeling by region from functional imaging 有权
标题翻译：功能成像区域的剂量分布建模
公开(公告)号：US08812240B2
公开(公告)日：2014-08-19
申请号：US12398487
申请日：2009-03-05
申请人： Shipeng Yu , Glenn Fung , Steven Florian Petit , Hugo J. W. L. Aerts , Claudia Offermann , Michel Oellers , Philippe Lambin , Dirk de Ruysscher , Andreas Lubbertus Aloysius Johannes Dekker , Sriram Krishnan
发明人： Shipeng Yu , Glenn Fung , Steven Florian Petit , Hugo J. W. L. Aerts , Claudia Offermann , Michel Oellers , Philippe Lambin , Dirk de Ruysscher , Andreas Lubbertus Aloysius Johannes Dekker , Sriram Krishnan
IPC分类号： G01N33/48 , G01N31/00 , G06G7/48 , G06G7/58 , A61N5/10 , G06F19/00 , G06N99/00 , G06T11/00
CPC分类号： A61N5/1031 , A61N2005/1041 , G06F19/00 , G06N99/005 , G06T11/00 , G16H50/50
摘要： Functional imaging information is used to determine a probability of residual disease given a treatment. The functional imaging information shows different characteristic levels for different regions of the tumor. The probability is output for planning use and/or used to automatically determine dose by region. Using the probability, the dose may be distributed by region so that some regions receive a greater dose than other regions. This distribution by region of dose more likely treats the tumor with a same dose, allows a lesser dose to sufficient treat the tumor, and/or allows a greater dose with a lesser or no increase in risk to normal tissue. The dose plan may account for personalized tumors as each patient may have distinct tumors. Probability of dose application accuracy may also be used, so that a combined treatment probability allows efficient dose planning.
摘要翻译：功能成像信息用于确定给予治疗的残留疾病的概率。功能成像信息显示肿瘤不同区域的不同特征水平。输出用于规划使用的概率和/或用于按区域自动确定剂量。使用概率，剂量可以按区域分布，使得一些区域比其他区域接受更大的剂量。通过剂量区域的这种分布更可能以相同的剂量治疗肿瘤，允许较小剂量足以治疗肿瘤，和/或允许更大剂量对正常组织的风险较小或不增加。每个患者可能具有不同的肿瘤，剂量计划可以说明个体化肿瘤。也可以使用剂量施用精度的概率，使得组合的治疗概率允许有效的剂量计划。

3. 发明申请

US20100057651A1 Knowledge-Based Interpretable Predictive Model for Survival Analysis 有权
标题翻译：基于知识的解释性生存分析预测模型
公开(公告)号：US20100057651A1
公开(公告)日：2010-03-04
申请号：US12506583
申请日：2009-07-21
申请人： Glenn Fung , Cary Dehing-Oberije , Andreas Lubbertus Aloysius Johannes Dekker , Philippe Lambin , Shipeng Yu , Kartik Jayasurya Komati
发明人： Glenn Fung , Cary Dehing-Oberije , Andreas Lubbertus Aloysius Johannes Dekker , Philippe Lambin , Shipeng Yu , Kartik Jayasurya Komati
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N7/005 , A61N2005/1041
摘要： Knowledge-based interpretable predictive modeling is provided. Expert knowledge is used to seed training of a model by a machine. The expert knowledge may be incorporated as diagram information, which relates known causal relationships between predictive variables. A predictive model is trained. In one embodiment, the model operates even with a missing value for one or more variables by using the relationship between variables. For application, the model outputs a prediction, such as the likelihood of survival for two years of a lung cancer patient. A graphical representation of the model is also output. The graphical representation shows the variables and relationships between variables used to determine the prediction. The graphical representation is interpretable by a physician or other to assist in understanding.
摘要翻译：提供基于知识的可解释预测模型。专家知识用于通过机器对模型进行种子培训。专家知识可以作为图表信息并入，其涉及预测变量之间的已知因果关系。一个预测模型被训练。在一个实施例中，通过使用变量之间的关系，该模型甚至通过一个或多个变量的缺失值来运行。为了应用，该模型输出预测，例如两年的肺癌患者的生存可能性。还会输出模型的图形表示。图形表示显示用于确定预测的变量和变量之间的关系。图形表示可由医生或其他人解释，以协助理解。

4. 发明授权

US08078554B2 Knowledge-based interpretable predictive model for survival analysis 有权
标题翻译：基于知识的可解释预测模型进行生存分析
公开(公告)号：US08078554B2
公开(公告)日：2011-12-13
申请号：US12506583
申请日：2009-07-21
申请人： Glenn Fung , Cary Dehing-Oberije , Andreas Lubbertus Aloysius Johannes Dekker , Philippe Lambin , Shipeng Yu , Kartik Jayasurya Komati
发明人： Glenn Fung , Cary Dehing-Oberije , Andreas Lubbertus Aloysius Johannes Dekker , Philippe Lambin , Shipeng Yu , Kartik Jayasurya Komati
IPC分类号： G06N5/00
CPC分类号： G06N7/005 , A61N2005/1041
摘要： Knowledge-based interpretable predictive modeling is provided. Expert knowledge is used to seed training of a model by a machine. The expert knowledge may be incorporated as diagram information, which relates known causal relationships between predictive variables. A predictive model is trained. In one embodiment, the model operates even with a missing value for one or more variables by using the relationship between variables. For application, the model outputs a prediction, such as the likelihood of survival for two years of a lung cancer patient. A graphical representation of the model is also output. The graphical representation shows the variables and relationships between variables used to determine the prediction. The graphical representation is interpretable by a physician or other to assist in understanding.
摘要翻译：提供基于知识的可解释预测模型。专家知识用于通过机器对模型进行种子培训。专家知识可以作为图表信息并入，其涉及预测变量之间的已知因果关系。一个预测模型被训练。在一个实施例中，通过使用变量之间的关系，该模型甚至通过一个或多个变量的缺失值来运行。为了应用，该模型输出预测，例如两年的肺癌患者的生存可能性。还会输出模型的图形表示。图形表示显示用于确定预测的变量和变量之间的关系。图形表示可由医生或其他人解释，以协助理解。

5. 发明授权

US06896661B2 Monitoring physiological parameters based on variations in a photoplethysmographic baseline signal 有权
标题翻译：基于光电容积描记基线信号的变化监测生理参数
公开(公告)号：US06896661B2
公开(公告)日：2005-05-24
申请号：US10081165
申请日：2002-02-22
申请人： Andreas Lubbertus Aloysius Johannes Dekker
发明人： Andreas Lubbertus Aloysius Johannes Dekker
IPC分类号： A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/08
CPC分类号： A61B5/14551 , A61B5/0205 , A61B5/02416 , A61B5/0816 , A61B5/4035
摘要： A method and apparatus are disclosed for using photoplethysmography to obtain physiological parameter information related to respiration or the autonomic nervous system. In one implementation, the process involves obtaining (602) a pleth, filtering (604) the pleth to remove unwanted components, identifying (606) a signal component of interest based on the filtered signal, monitoring (608) blood pressure changes, monitoring (610) heart rate, and performing (612) an analysis of the blood pressure signal to the heart rate signal to identify a phase relationship associated with the component of interest. Based on this phase relationship, the component of interest may be identified (614) as relating to the respiration or Mayer Wave. If it is related to the respiration wave (616), a respiratory parameter such as breathing rate may be determined (620). Otherwise, a Mayer Wave analysis (618) may be performed to obtain parameter information related to the autonomic nervous system.
摘要翻译：公开了一种使用光电体积描记术获得与呼吸或自主神经系统相关的生理参数信息的方法和装置。在一个实施方式中，该过程包括获得（602）一次，过滤（604）去除不想要的组件的余量，基于滤波的信号识别（606）感兴趣的信号分量，监测（608）血压变化，监测（ 610）心率，并且执行（612）对心率信号的血压信号的分析，以识别与感兴趣的组分相关联的相位关系。基于这种相位关系，感兴趣的部分可以被识别为与呼吸或梅耶波相关的（614）。如果它与呼吸波相关（616），则可以确定诸如呼吸频率的呼吸参数（620）。否则，可以执行Mayer Wave分析（618）以获得与自主神经系统相关的参数信息。

6. 发明授权

US06805673B2 Monitoring mayer wave effects based on a photoplethysmographic signal 有权
标题翻译：基于光电体积描记信号监测威尔波效应
公开(公告)号：US06805673B2
公开(公告)日：2004-10-19
申请号：US10081887
申请日：2002-02-22
申请人： Andreas Lubbertus Aloysius Johannes Dekker
发明人： Andreas Lubbertus Aloysius Johannes Dekker
IPC分类号： A61B508
CPC分类号： A61B5/02405 , A61B5/0205 , A61B5/1073 , A61B5/14551
摘要： A photoplethysmographic instrument is used to obtain physiological parameter information related to low frequency heart rate and blood volume variability. In one implementation, a plethysmographic signal is filtered relative to a Mayer Wave frequency to provide an output related to low frequency blood volume variability. In another implementation, the photoplethysmographic signal is first processed to obtain a heart rate signal and the heart rate signal is in turn processed to obtain information regarding low frequency heart rate variability. In either case, a Mayer Wave effect having potential diagnostic significance can be monitored using a photoplethysmographic instrument such as a pulse oximeter.
摘要翻译：使用光电体积描记仪获取与低频心率和血容量变异性相关的生理参数信息。在一个实施方式中，相对于迈耶波频率来过滤体积描记信号，以提供与低频血容量变异性相关的输出。在另一实施方案中，首先对光电体积描记信号进行处理以获得心率信号，然后处理心率信号以获得关于低频心率变异性的信息。在任一种情况下，可以使用诸如脉搏血氧计的光电体积描记器来监测具有潜在诊断意义的迈耶波效应。

7. 发明授权

US07001337B2 Monitoring physiological parameters based on variations in a photoplethysmographic signal 有权
标题翻译：基于光电容积描记信号的变化监测生理参数
公开(公告)号：US07001337B2
公开(公告)日：2006-02-21
申请号：US10790950
申请日：2004-03-02
申请人： Andreas Lubbertus Aloysius Johannes Dekker
发明人： Andreas Lubbertus Aloysius Johannes Dekker
IPC分类号： A61B5/02
CPC分类号： A61B5/0816 , A61B5/0205 , A61B5/02405 , A61B5/02416 , A61B5/1073 , A61B5/14551 , A61B5/4035 , A61B5/7278
摘要： A method and apparatus are disclosed for using photoplethysmography to obtain physiological parameter information related to respiration rate, heart rate, heart rate variability, blood volume variability and/or the autonomic nervous system. In one implementation, the process involves obtaining (2502) a pleth, filtering (2504) the pleth to remove unwanted components, identifying (2506) a signal component of interest, monitoring (2508) blood pressure changes, monitoring (2510) heart rate, and performing (2512) an analysis of the blood pressure signal to the heart rate signal to identify a relationship associated with the component of interest. Based on this relationship, the component of interest may be identified (2514) as relating to the respiration or Mayer Wave. If it is related to the respiration wave (2516), a respiratory parameter such as breathing rate may be determined (2520). Otherwise, a Mayer Wave analysis (2518) may be performed to obtain parameter information related to the autonomic nervous system.
摘要翻译：公开了一种使用光体积描记术来获得与呼吸率，心率，心率变异性，血容量变异性和/或自主神经系统有关的生理参数信息的方法和装置。在一个实施中，该过程涉及获得（2502）过滤（2504）去除不想要的组分，识别（2506）感兴趣的信号分量，监测（2508）血压变化，监测（2510）心率，以及执行（2512）对所述心率信号的血压信号的分析，以识别与感兴趣的组分相关联的关系。基于这种关系，感兴趣的组成部分可以被识别为与呼吸或梅耶波相关的（2514）。如果它与呼吸波（2516）有关，则可以确定诸如呼吸频率的呼吸参数（2520）。否则，可以执行Mayer Wave分析（2518）以获得与自主神经系统相关的参数信息。

8. 发明授权

US06709402B2 Apparatus and method for monitoring respiration with a pulse oximeter 有权
标题翻译：用脉搏血氧仪监测呼吸的装置和方法
公开(公告)号：US06709402B2
公开(公告)日：2004-03-23
申请号：US10081168
申请日：2002-02-22
申请人： Andreas Lubbertus Aloysius Johannes Dekker
发明人： Andreas Lubbertus Aloysius Johannes Dekker
IPC分类号： A61B508
CPC分类号： A61B5/6826 , A61B5/0205 , A61B5/0816 , A61B5/14551 , A61B5/6838
摘要： An apparatus and method for monitoring a secondary physiological process through variations caused by the secondary process in an optical signal used to calculate values related to blood oxygen levels. In particular, the optical signal may be divided into distinct portions such that a portion more directly affected by a particular secondary physiological process may be isolated and the secondary physiological process monitored. The apparatus and method is particularly useful for photoplethysmographically monitoring a patient's respiration frequency through changes in relative concentrations of blood oxygen related values that are proportionally related to the amounts of venous and arterial blood in a portion of tissue.
摘要翻译：一种用于通过用于计算与血氧水平相关的值的光学信号中由次级过程引起的变化来监测次生理过程的装置和方法。特别地，光信号可以被划分成不同的部分，使得可以隔离更直接受特定次生理过程影响的部分，并且监视次生生理过程。该设备和方法特别可用于通过与组织的一部分中的静脉和动脉血的量成比例地相关的血氧相关值的相对浓度的变化对光学体积学监测患者的呼吸频率。

9. 发明授权

US06702752B2 Monitoring respiration based on plethysmographic heart rate signal 有权
标题翻译：根据体积描记法心率信号监测呼吸
公开(公告)号：US06702752B2
公开(公告)日：2004-03-09
申请号：US10081719
申请日：2002-02-22
申请人： Andreas Lubbertus Aloysius Johannes Dekker
发明人： Andreas Lubbertus Aloysius Johannes Dekker
IPC分类号： A61B502
CPC分类号： A61B5/02416 , A61B5/0816 , A61B5/1455
摘要： A pleth signal is analyzed to identify a heart rate variability parameter associated with respiration rate. In one embodiment, an associated process involves obtaining a photoplethysmograpic signal, processing the pleth signal to obtain heart rate samples, monitoring the heart rate sample to identify a heart rate variability associated with respiration, and determining a respiration rate based on the heart rate variability. The photoplethysmographic signal may be based on one or more channel signals of a conventional pulse oximeter. The invention thus allows for noninvasive monitoring of respiration rate and expands the functionality of pulse oximeters.
摘要翻译：分析信号以识别与呼吸速率相关联的心率变异性参数。在一个实施例中，相关联的过程包括获得光电容积学信号，处理乐观信号以获得心率样本，监测心率样本以识别与呼吸相关联的心率变异性，以及基于心率变异性确定呼吸率。光电体积描记信号可以基于常规脉搏血氧计的一个或多个信道信号。因此，本发明允许非侵入性地监测呼吸速率并扩展脉搏血氧仪的功能。

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