公开(公告)号：US09173574B2

公开(公告)日：2015-11-03

申请号：US13096845

申请日：2011-04-28

申请人： Rodrigo E. Teixeira ,  Alton Reich

发明人： Rodrigo E. Teixeira ,  Alton Reich

IPC分类号： G01F23/00 ,  A61B5/0205 ,  A61B5/1455 ,  A61B5/00 ,  A61B5/0402

CPC分类号： A61B5/0205 ,  A61B5/0402 ,  A61B5/14551 ,  A61B5/7203 ,  A61B5/7214 ,  A61B5/7278

摘要： A probabilistic data signal processor used to determine health of a system is described. Initial probability distribution functions are input to a dynamic state-space model, which iteratively operates on probability distribution functions, such as state and model probability distribution functions, to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled and used as an input to the dynamic state-space model in the iterative algorithm. In various embodiments, the probabilistic data signal processor is used to filter output from any mechanical device using appropriate physical models, which optionally include chemical, electrical, optical, mechanical, or fluid based models. Examples to valve bearings and pipe systems are provided.

摘要翻译： 描述了用于确定系统健康状况的概率数据信号处理器。 将初始概率分布函数输入到动态状态空间模型，该模型对诸如状态和模型概率分布函数之类的概率分布函数进行迭代运算，以产生输入到概率更新器的先验概率分布函数。 概率更新器将传感器数据与先前集成，生成传递给概率采样器的后验概率分布函数，该概率分析函数使用后验估计一个或多个参数，后者被输出或重新采样并用作动态状态空间的输入 模型的迭代算法。 在各种实施例中，概率数据信号处理器用于使用适当的物理模型来过滤来自任何机械设备的输出，其中可选地包括化学，电学，光学，机械或基于流体的模型。 提供了阀门轴承和管道系统的例子。

公开(公告)号：US11363994B2

公开(公告)日：2022-06-21

申请号：US16533778

申请日：2019-08-06

申请人： Alton Reich ,  Rodrigo E. Teixeira

发明人： Alton Reich ,  Rodrigo E. Teixeira

IPC分类号： A61B5/00 ,  A61B5/029 ,  A61B5/021 ,  A61B5/02 ,  A61B5/022 ,  A61B5/0225 ,  G16H50/50

摘要： The invention comprises a method and apparatus for estimating state of a cardiovascular system, comprising a cardiac stroke volume analyzer, comprising: (1) a blood pressure sensor generating a time-varying pressure state waveform output from a limb of the person; (2) a system processor connected to the blood pressure sensor; and (3) a dynamic state-space model; the system processor receiving cardiovascular input data, from the blood pressure sensor, related to a transient pressure state of the cardiovascular system; at least one probabilistic model, of the dynamic state-space model, operating on the time-varying pressure state waveform output to generate a probability distribution function to a non-pressure state of the cardiovascular system; iteratively updating the probability distribution function using output from the blood pressure sensor; and processing the probability distribution function to generate a non-pressure state output related to stroke volume of a heart of the person and arterial compliance of the person.

公开(公告)号：US20190012608A1

公开(公告)日：2019-01-10

申请号：US15906413

申请日：2018-02-27

申请人： Rodrigo E. Teixeira

发明人： Rodrigo E. Teixeira

IPC分类号： G06N7/00 ,  A61B5/0402 ,  A61B5/0205 ,  A61B5/024 ,  G16H50/70 ,  G16H15/00 ,  G06F15/18

摘要： A probabilistic digital signal processor using data from multiple instruments is described. In one example, a digital signal processor is integrated into a biomedical device. The processor is configured to: use a dynamic state-space model configured with a physiological model of a body system to provide a prior probability distribution function; receive sensor data input from at least two data sources; and iteratively use a probabilistic updater to integrate the sensor data as a fused data set and generate a posterior probability distribution function using all of: (1) the fused data set; (2) an application of Bayesian probability; and (3) the prior probability distribution function. The processor further generates an output of a biomedical state using the posterior probability function.

公开(公告)号：US20120022805A1

公开(公告)日：2012-01-26

申请号：US13096845

申请日：2011-04-28

申请人： Rodrigo E. Teixeira ,  Alton J. Reich

发明人： Rodrigo E. Teixeira ,  Alton J. Reich

IPC分类号： G01F23/00 ,  G01B3/00

CPC分类号： A61B5/0205 ,  A61B5/0402 ,  A61B5/14551 ,  A61B5/7203 ,  A61B5/7214 ,  A61B5/7278

摘要： A probabilistic data signal processor used to determine health of a system is described. Initial probability distribution functions are input to a dynamic state-space model, which iteratively operates on probability distribution functions, such as state and model probability distribution functions, to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled and used as an input to the dynamic state-space model in the iterative algorithm. In various embodiments, the probabilistic data signal processor is used to filter output from any mechanical device using appropriate physical models, which optionally include chemical, electrical, optical, mechanical, or fluid based models. Examples to valve bearings and pipe systems are provided.

摘要翻译： 描述了用于确定系统健康状况的概率数据信号处理器。 将初始概率分布函数输入到动态状态空间模型，该模型对诸如状态和模型概率分布函数之类的概率分布函数进行迭代运算，以产生输入到概率更新器的先验概率分布函数。 概率更新器将传感器数据与先前集成，生成传递给概率采样器的后验概率分布函数，该概率分析函数使用后验估计一个或多个参数，后者被输出或重新采样并用作动态状态空间的输入 模型的迭代算法。 在各种实施例中，概率数据信号处理器用于使用适当的物理模型来过滤来自任何机械设备的输出，其中可选地包括化学，电学，光学，机械或基于流体的模型。 提供了阀门轴承和管道系统的例子。

公开(公告)号：US10460843B2

公开(公告)日：2019-10-29

申请号：US15251779

申请日：2016-08-30

申请人： Rodrigo E. Teixeira

发明人： Rodrigo E. Teixeira

IPC分类号： A61B5/0205 ,  G16H50/50 ,  A61B5/029 ,  A61B8/06 ,  A61B8/08 ,  A61B5/027 ,  A61B5/022 ,  A61B5/083

摘要： A probabilistic digital signal processor using data from multiple instruments is described. In one example, an analyzer is configured to: receive discrete first and second input data, related to a first and second sub-system of the system, from a first and second instrument, respectively. A system processor is used to fuse the first and second input data into fused data. The system processor optionally includes: (1) a probabilistic processor configured to convert the fused data into at least two probability distribution functions and (2) a dynamic state-space model, the dynamic state-space model including at least one probabilistic model configured to operate on the at least two probability distribution functions. The system processor iteratively circulates the at least two probability distribution functions in the dynamic state-space model in synchronization with receipt of updated input data, processes the probability distribution functions, and generates an output related to the state of the system.

公开(公告)号：US20140275886A1

公开(公告)日：2014-09-18

申请号：US13829334

申请日：2013-03-14

申请人： Rodrigo E. Teixeira

发明人： Rodrigo E. Teixeira

IPC分类号： A61B5/00 ,  A61B5/029 ,  A61B5/11 ,  A61B5/0205 ,  A61B5/0402 ,  A61B5/04 ,  A61B5/021 ,  A61B5/1455

CPC分类号： A61B5/7264 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/029 ,  A61B5/04012 ,  A61B5/14551 ,  A61B5/7214 ,  A61B5/725

摘要： A probabilistic digital signal processor using data from multiple instruments is described. Initial probability distribution functions are input to a dynamic state-space model, which operates on state and/or model probability distribution functions to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data from multiple instruments with the prior to generate a posterior probability distribution function passed (1) to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled in an iterative algorithm or (2) iteratively to the dynamic state-space model. For example, the probabilistic processor operates on fused data using a physical model, where the data originates from a mechanical system or a medical meter or instrument, such as an electrocardiogram or pulse oximeter to generate new parameter information and/or enhanced parameter information.

摘要翻译： 描述了使用来自多个仪器的数据的概率数字信号处理器。 初始概率分布函数被输入到动态状态空间模型，该模型对状态和/或模型概率分布函数进行操作，以生成输入到概率更新器的先验概率分布函数。 概率更新器将来自多个仪器的传感器数据与先前的传感器数据进行整合，以生成经过（1）的后验概率分布函数到概率采样器，该概率采样器使用后验估计一个或多个参数，后者以迭代算法输出或重新采样， （2）迭代到动态状态空间模型。 例如，概率处理器使用物理模型对融合数据进行操作，其中数据源自机械系统或诸如心电图或脉搏血氧计的医疗仪表或仪器，以产生新的参数信息和/或增强的参数信息。

公开(公告)号：US20120277545A1

公开(公告)日：2012-11-01

申请号：US13096876

申请日：2011-04-28

申请人： Rodrigo E. Teixeira

发明人： Rodrigo E. Teixeira

IPC分类号： A61B5/00

CPC分类号： A61B5/14551 ,  A61B5/0075 ,  A61B5/0205 ,  A61B5/441 ,  A61B5/7275 ,  G06F19/00

摘要： A probabilistic digital signal processor for medical function is described. Initial probability distribution functions are input to a dynamic state-space model, which operates on state and/or model probability distribution functions to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled in an iterative algorithm. For example, the probabilistic processor operates using a physical model on data from a medical meter, where the medical meter uses a first physical parameter, such as blood oxygen saturation levels from a pulse oximeter, to generate a second physical parameter not output by the medical meter, such as a heart stroke volume, a cardiac output flow rate, and/or a blood pressure.

摘要翻译： 描述了用于医疗功能的概率数字信号处理器。 初始概率分布函数被输入到动态状态空间模型，该模型对状态和/或模型概率分布函数进行操作，以生成输入到概率更新器的先验概率分布函数。 概率更新器将传感器数据与先前集成，生成传递给概率采样器的后验概率分布函数，该概率分析函数使用后验估计一个或多个参数，后者以迭代算法输出或重新采样。 例如，概率处理器使用来自医疗仪表的数据上的物理模型进行操作，其中医疗仪器使用诸如来自脉搏血氧计的血氧饱和度水平的第一物理参数来产生不由医疗输出的第二物理参数 例如心搏量，心输出量，和/或血压。

公开(公告)号：US20110301436A1

公开(公告)日：2011-12-08

申请号：US12796512

申请日：2010-06-08

申请人： Rodrigo E. Teixeira

发明人： Rodrigo E. Teixeira

IPC分类号： A61B5/00 ,  G06F17/18 ,  G06F19/00

CPC分类号： A61B5/14552 ,  A61B5/0402 ,  A61B5/7267 ,  G06F19/00

摘要： A pulse oximeter system comprises a data processor configured to perform a method that combines a sigma point Kalman filter (SPKF) or sequential Monte Carlo (SMC) algorithm with Bayesian statistics and a mathematical model comprising a cardiovascular model and a plethysmography model to remove contaminating noise and artifacts from the pulse oximeter sensor output and measure blood oxygen saturation, heart rate, left-ventricular stroke volume, aortic pressure and systemic pressures.

摘要翻译： 脉搏血氧计系统包括数据处理器，该数据处理器被配置为执行将西格玛卡尔曼滤波器（SPKF）或顺序蒙特卡罗（SMC）算法与贝叶斯统计学以及包括心血管模型和体积描记术模型的数学模型组合以去除污染噪声的方法 和来自脉搏血氧饱和度计传感器输出和测量血氧饱和度，心率，左心室搏动量，主动脉压和系统压力的伪像。

公开(公告)号：US10699206B2

公开(公告)日：2020-06-30

申请号：US15906413

申请日：2018-02-27

申请人： Rodrigo E. Teixeira

发明人： Rodrigo E. Teixeira

IPC分类号： A61B5/00 ,  G06N7/00 ,  A61B5/0402 ,  A61B5/0205 ,  G06F15/18 ,  G16H50/70 ,  G16H15/00 ,  A61B5/024 ,  G06N20/00 ,  A61B5/029 ,  G16H50/20 ,  G16H50/30

摘要： A probabilistic digital signal processor using data from multiple instruments is described. In one example, a digital signal processor is integrated into a biomedical device. The processor is configured to: use a dynamic state-space model configured with a physiological model of a body system to provide a prior probability distribution function; receive sensor data input from at least two data sources; and iteratively use a probabilistic updater to integrate the sensor data as a fused data set and generate a posterior probability distribution function using all of: (1) the fused data set; (2) an application of Bayesian probability; and (3) the prior probability distribution function. The processor further generates an output of a biomedical state using the posterior probability function.

公开(公告)号：US20170079596A1

公开(公告)日：2017-03-23

申请号：US15251779

申请日：2016-08-30

申请人： Rodrigo E. Teixeira

发明人： Rodrigo E. Teixeira

IPC分类号： A61B5/00 ,  A61B5/029 ,  A61B8/06 ,  A61B5/042 ,  A61B5/0205 ,  A61B5/027 ,  A61B5/02 ,  G06F19/00 ,  A61B8/08

CPC分类号： G16H50/50 ,  A61B5/0205 ,  A61B5/022 ,  A61B5/027 ,  A61B5/029 ,  A61B5/0402 ,  A61B5/0836 ,  A61B5/14551 ,  A61B5/7203 ,  A61B5/7214 ,  A61B5/725 ,  A61B8/065 ,  A61B8/488 ,  A61B2560/0252 ,  A61B2560/0257 ,  A61B2562/0219 ,  A61B2562/029 ,  G06K9/00496 ,  G06K9/6289

摘要： A probabilistic digital signal processor using data from multiple instruments is described. In one example, an analyzer is configured to: receive discrete first and second input data, related to a first and second sub-system of the system, from a first and second instrument, respectively. A system processor is used to fuse the first and second input data into fused data. The system processor optionally includes: (1) a probabilistic processor configured to convert the fused data into at least two probability distribution functions and (2) a dynamic state-space model, the dynamic state-space model including at least one probabilistic model configured to operate on the at least two probability distribution functions. The system processor iteratively circulates the at least two probability distribution functions in the dynamic state-space model in synchronization with receipt of updated input data, processes the probability distribution functions, and generates an output related to the state of the system.